mclogit: Multinomial Logit Models, with or without Random Effects or Overdispersion Index

Index¶

A|B|D|E|F|G|L|M|P|R|S|T|U|V|W

A¶

AIC.mclogit

anova.mclogit

B¶

BIC.mclogit

D¶

deviance.mclogit

dispersion.mclogit

dispersion

E¶

electors

F¶

fitted.mblogit

fitted.mclogit

G¶

getSummary.mblogit

getSummary.mmblogit

getSummary.mclogit

getSummary.mmclogit

L¶

logLik.mclogit

M¶

mblogit

mclogit.fit

mclogit

mmclogit.control

mclogit.control

mmclogit.fitPQLMQL

P¶

predict.mblogit

print.mmblogit

predict.mclogit

print.summary.mblogit

predict.mmblogit

print.summary.mclogit

predict.mmclogit

print.summary.mmblogit

print.mblogit

print.summary.mmclogit

print.mclogit

R¶

residuals.mclogit

S¶

simulate.mblogit

summary.mblogit

simulate.mclogit

summary.mclogit

simulate.mmblogit

summary.mmblogit

simulate.mmclogit

summary.mmclogit

T¶

Transport

U¶

update.mclogit

V¶

vcov.mclogit

W¶

weights.mblogit

weights.mclogit

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  • Home / News
  • Research interests
  • Publications
    • Books
      • Data Management in R: A Guide for Social Scientists
        • Introduction
          • Variables and Objects
          • Saving and loading objects
          • Running scripts
        • Building Blocks of Data
          • Basic Data Types
            • Numeric vectors
            • Logical vectors
            • Character vectors
            • Factors
          • Basic Data Manipulation
            • Extracting and replacing elements of a vector
            • Reordering and sorting elements of a vector
            • Regular sequences
            • Sampling from vectors
          • Complex Data Types
            • Lists
            • Attributes
        • Data Frames and their Management
          • The Structure of Data Frames
            • The structure of data frames
              • Data frame construction
              • In what follows we treat the data frame ‘UK’ as a list:
              • In the next few lines show the selection of rows and columns of a data frame
          • Accessing and Changing Variables in Data Frames
            • Accessing and changing variables
              • with() versus attach()
              • Changing variables within a data frame
          • Manipulating Data Frames
            • Creating subsets of data frames
            • Merging data frames: An example with data from the British Election Study
            • Merging data frames: An example with artificial data
            • Appending data frames
            • Reshaping data frames: An example with artificial data
            • Reshaping data frames: An example with data from the British Election Study
            • Sorting data frames
          • Aggregating Data Frames
            • Aggregating data frames
          • Groupwise computations within Data Frames
            • Groupwise computations within data frames
          • Importing Data into Data Frames
            • Importing data into data frames
              • Importing data from text files
              • Importing data from other statistics packages
        • Data Tables and the “Tidyverse”
          • Data Tables
            • Creating data tables
            • Subsetting data tables
            • Summarizing data tables
            • Modifying data tables
          • The Tidyverse
            • Importing data with the haven package
            • Subsetting data with dplyr
            • Summarizing data with dplyr
            • Modifying data with the dplyr package
          • A Comparison between the Approaches
            • Preparing example data for the benchmark study
            • Benchmark study: Computing group summaries
            • Benchmark study: Modifying data within groups
            • Summary of the benchmark study
          • Tidying Data Using the tidyr Package
            • Reshaping data to long format with tidyr
            • Reshaping data to wide format with tidyr
            • Filling and completing with tidyr
        • Social Science Surveys
          • Importing survey data
            • Importing data from the British Election Study in SPSS format
            • Importing ASCII format data from the American National Election Study
          • Recoding and other transformations
            • Recoding data from the British Election Study
            • Combining variables using case distinctions
        • Data from Complex Samples
          • Survey Design Objects
            • Constructing a survey design object from a data frame
            • Constructing a survey design object from data of the 2016 American Election Study.
          • Survey Replication Weights
            • Using the replicate weights provided with CHIS data
            • Creating replicate weights for a survey design object (with ANES 2016 data).
          • Poststratification, Raking, and Calibration
            • Poststratification of 2016 American National Election Study data
            • Raking 2016 American National Election Study data
            • Calibrating 2016 ANES data by linear regression.
            • Comparing poststratification, raking, and calibration with ANES data
        • Dates, Times, and Time Series
          • Dates and Times
            • Date objects and date formatting
            • Date arithmetic
            • POSIXct time objects
            • Time arithmetic
            • POSIXlt time objects
            • Creation of date and time data for given years, months, and days
            • Time differences
          • Time Series
            • Regular time series
              • Approval of US presidents
              • OECD unemployment data
              • Artificial time series data
              • Time arithmetic
            • Irregular time series and the zoo package
              • Creating a “zoo” object from the “presidents” time series
              • Creating a “zoo” object from OECD unemployment data
              • Subsetting “zoo” objects
              • Handling missing values
              • Rolling statistics
              • Time arithmetics with “zoo” objects
              • Merging (multivariate) time series
              • Importing data into “zoo” objects
        • Spatial and Geographical data
          • The Structure of Spatial Data
            • The structure of objects of classes defined in the sp package
            • The structure of objects of classes defined in the sf package
            • Converting “sp” objects to “sf” objects
          • Spatial Relations and Operations
            • Spatial relations
            • Properties of spatial objects
            • Unions and intersections (of artificial geometric objects)
            • Subsetting spatial feature objects
            • Aggregating spatial feature objects
          • Cartographic Projections
            • Geographical projections of a mainland USA map
          • Geographical Data Files
            • Importing shapefiles
            • Importing geographical data from OpenStreetMap
        • Text as Data
          • Character Strings
            • Basic operations on character strings
              • length() versus nchar()
              • Character vector subsets versus substrings
              • Finding patterns within character strings and character vectors
              • Replacing patterns within character strings and character vectors
            • Counting words in the UK party manifesto on occasion of the 2017 election
          • Text Corpora with the tm Package
            • A simple example for the usage of the tm package
            • An example for the use of tm on data from the Manifesto Project
          • Improvements Provided by the quanteda Package
            • A basic example for the usage of the quanteda package
            • Obtaining tokens in text documents using quanteda
            • Preparing Manifesto Project data using quanteda
    • Articles in peer reviewed journals
      • Multilevel Analysis with Few Clusters: Improving Likelihood-based Methods
      • Method Factors in Democracy Indicators
      • Social Cleavages and Electoral Behaviour in Long-Term Perspective
      • A Dynamic State-Space Model of Coded Political Texts
      • Bounded Volatility in the Dutch Electoral Battlefield
      • Stability or Decline? Class, Religion and the Vote in Germany
      • Social Divisions, Party Positions, and Electoral Behaviour
      • Ignoramus, Ignorabimus? On Uncertainty in Ecological Inference
      • The Decline of Social Cleavages in Western Europe Revisited
      • Politicisation, Economic Development, and Political Interest in Europe
    • Book contributions
      • All Gone? Change and Persistence in the Impact of Social Cleavages on Voting Behavior in Germany since 1949
      • Der Einfluss des politischen Kontextes auf die Ausformung einer Parteiidentifikation
        • Replicationsmaterial
          • Vorbereitung
            • Benötigte Pakete
            • Daten der GLES
          • Analysen für Westdeutschland
            • Teildatensatz für Westdeutschland
            • Konstruktion des Basismodells
            • Graphische Darstellung relevanter Effekte im Basismodell
              • Zusammenhang mit Alter
              • Einfluss des Elternhauses
              • Einfluss des Bundeslandes
            • Erkundung des Effektes der Regierungsbeteiligung auf Bundesebene
              • Effekt der Regierungsbeteiligung bei unterschiedlichem Alter
            • Erkundung des Effektes der Regierungsbeteiligung auf Landesebene
              • Effekt der Regierungsbeteiligung bei unterschiedlichem Alter
              • Effekt der Regierungsbeteiligung mit unterschiedlichem Lag
    • Research Reports
  • Working papers
    • Transformation of Religious Cleavages in Western Europe
    • On Models for Categorical Dependent Variables
    • The RiLe Index of Party Ideology - A Reductio
    • Education and Voting in Germany in Long-Term Perspective
    • Valence or Position? Unified Conception of Party Competition
    • Political Context and the Formation of Party Identification in the United States
    • A New Approach to the Analysis of Tactical Voting
    • Strategic Voting and Ticket-Splitting in Germany
    • Party Families and Conceptions of Party Ideology
    • The Political Demobilisation of the Working Class in Germany
    • Campaign Dynamics and Strategic Voting in UK Parliamentary Elections
    • On the Distinctiveness of Party Families
    • Measuring Politcal Knowledge: The Problem of Cross-National Equivalence
  • Data
    • Data on Parties’ Positions in Multiple Dimensions across Time and Space
  • Teaching
    • Topics
      • Political Sociology and Political Behaviour
      • Comparative Politics
      • Social Science Research Methods
    • Institutions
      • Zeppelin-Universität Friedrichshafen
      • Universität Konstanz
      • University Essex, Department of Government
      • Universität Mannheim
      • Essex Summer School in Data Analysis and Collection
      • GESIS - Mathematical Tools for Social Scientists
  • Software
    • memisc: Management of Survey Data and Presentation of Analysis Results
      • "memisc" on CRAN
      • "memisc" on GitHub
      • Documentation
        • User guides
          • Handling Questionnaire Items
            • Motivation
            • Standard attributes of survey items
              • Value labels
              • Missing values
              • Other attributes of survey items
              • Codebooks of survey items
            • Data sets: Containers of survey items
              • The structure of “data.set” objects
              • Manipulating data in data sets
              • Codebooks of data sets
              • Translating data sets into data frames
            • More tools for data preparation
              • Recoding
              • Case distinctions
          • Importing Data from SPSS and Stata
            • Motivation
            • The role of “importer” objects
            • Importing data from SPSS files
              • Importing from a SPSS “system” file
              • Import from a SPSS “portable” file
              • Import from a fixed-width file accompanied by SPSS syntax
            • Importing data from a Stata file
          • Creating tables of model estimates
            • The “mtable” function
            • Choosing what information is presented in the table and how
              • Estimates, standard errors, confidence intervals etc.
              • Summary statistics
            • Exporting mtable results
              • LaTeX Format
              • Text file format (tab-delimited and “CSV”)
              • HTML (for web-pages, knitr reports and word processors)
            • Adapting mtable to new model classes and other tricks - the API of mtable
              • A demonstration: “mtable” and sandwich estimators of variance
          • Generating Tables of Descriptive Statistics
            • Motivation
            • Creating Tables of Descriptive Statistics
            • Formatting Tables of Descriptive Statistics
          • Combining Tables
          • Example: The American Election Study 1948
            • Introduction
            • Reading In a “Portable” SPSS Data File
              • Reading In a Subset of the Data
            • Analysis
              • Some Descriptive Analyses
              • Logit Modelling of Candidate Choice
        • Manual pages
          • Memisc
            • Description
            • Data preparation and management
              • Survey Items
              • More Convenient Import of External Data
              • Recoding
              • Code Books
            • Data Analysis
              • Tables and Data Frames of Descriptive Statistics
              • Per-Subset Analysis
            • Presentation of Results of Statistical Analysis
              • Publication-Ready Tables of Coefficients
              • LaTeX Representation of R Objects
            • Programming
              • Looping over Variables
              • Changing Names of Objects and Labels of Factors
              • Dimension-Preserving Versions of lapply and sapply
              • Combining Vectors and Arrays by Names
              • Reordering of Matrices and Arrays
          • By
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • Descriptives
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • foreach
            • Description
            • Usage
            • Arguments
            • Examples
          • Groups
            • Description
            • Usage
            • Arguments
            • Details
            • Examples
          • Iconv
            • Description
            • Usage
            • Arguments
            • Value
            • See also
            • Examples
          • List
            • Description
            • Usage
            • Arguments
            • Examples
          • Reshape
            • Description
            • Usage
            • Arguments
            • Examples
          • Sapply
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • Substitute
            • Description
            • Usage
            • Arguments
            • Value
            • Details
            • Examples
          • Table
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • Write
            • Description
            • Usage
            • Arguments
          • annotations
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • applyTemplate
            • Description
            • Usage
            • Arguments
            • Value
            • Details
            • Examples
          • as.array
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • as.symbols
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • cases
            • Description
            • Usage
            • Arguments
            • Value
            • Details
            • Examples
          • codebook
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • codeplan
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • collect
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • contr
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • data.set
            • Description
            • Usage
            • Arguments
            • Value
            • Details
            • Examples
          • data.set manipulation
            • Description
            • Usage
            • Arguments
            • Examples
          • deduplicate_labels
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • dimrename
            • Description
            • Usage
            • Arguments
            • Value
            • Details
            • Examples
          • duplicated_labels
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • format_html
            • Description
            • Usage
            • Arguments
            • Value
          • format_html.codebook
            • Description
            • Usage
            • Arguments
            • See also
          • format_html.ftable
            • Description
            • Usage
            • Arguments
            • See also
          • ftable-matrix
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • genTable
            • Description
            • Usage
            • Arguments
            • Value
            • Details
            • See also
            • Examples
          • getSummary
            • Description
            • Usage
            • Arguments
            • Value
            • Details
          • html
            • Description
            • Usage
            • Arguments
            • Details
            • Examples
          • importers
            • Description
            • Usage
            • Arguments
            • Value
            • Details
            • See also
            • Examples
          • items
            • Description
            • Usage
            • Arguments
            • See also
            • Examples
          • items-to-vectors
            • Description
            • Usage
            • Arguments
            • Value
            • See also
            • Examples
          • labels
            • Description
            • Usage
            • Arguments
            • Examples
          • measurement
            • Description
            • Usage
            • Arguments
            • Value
            • See also
            • Examples
          • memisc-deprecated
            • Description
            • Usage
            • Arguments
          • mtable
            • Description
            • Usage
            • Arguments
            • Value
            • Details
            • Examples
          • mtable_format_delim
            • Description
            • Usage
            • Arguments
            • Value
          • mtable_format_html
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • mtable_format_latex
            • Description
            • Usage
            • Arguments
            • Value
          • mtable_format_print
            • Description
            • Usage
            • Arguments
            • Value
          • negative match
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • percent
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • percentages
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • query
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • recode
            • Description
            • Usage
            • Arguments
            • Value
            • Details
            • See also
            • Examples
          • relabel
            • Description
            • Usage
            • Arguments
            • Value
            • Details
            • Examples
          • rename
            • Description
            • Usage
            • Arguments
            • Value
            • Details
            • Examples
          • reorder.array
            • Description
            • Usage
            • Arguments
            • Value
            • Details
            • See also
            • Examples
          • retain
            • Description
            • Usage
            • Arguments
            • Examples
          • sample-methods
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • sort-methods
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • Mean
            • Description
            • Usage
            • Arguments
          • styles
            • Description
            • Usage
            • Arguments
            • Details
          • syntactic-shugar
            • Description
            • Usage
            • Arguments
            • Examples
          • tibbles
            • Description
            • Usage
            • Arguments
            • Value
          • to.data.frame
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • toLatex
            • Description
            • Usage
            • Arguments
            • Examples
          • Utility classes
            • Description
            • Examples
          • value.filter
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • view
            • Description
            • Usage
            • Arguments
            • Examples
          • view_html
            • Description
            • Usage
            • Arguments
            • Examples
          • wild.codes
            • Description
            • Usage
            • Arguments
            • Value
          • withSE
            • Description
            • Usage
            • Arguments
            • Value
            • Details
            • Examples
        • Index
      • Recent news
      • Examples
    • mclogit: Multinomial Logit Models, with or without Random Effects or Overdispersion
      • mclogit on CRAN
      • Baseline-category logit models
      • Conditional logit models
      • Random effects in baseline logit models and conditional logit models
      • Documentation of the Package
        • Manual pages
          • Transport
            • Description
            • Usage
          • dispersion
            • Description
            • Usage
            • Arguments
            • Examples
          • electors
            • Description
            • Usage
            • Examples
          • getSummary-methods
            • Description
            • Usage
            • Arguments
            • Examples
          • mblogit
            • Description
            • Usage
            • Arguments
            • Value
            • Details
            • See also
            • Examples
          • mclogit
            • Description
            • Usage
            • Arguments
            • Value
            • Notes
            • See also
            • Examples
          • mclogit.fit
            • Description
            • Usage
            • Arguments
            • Value
          • mclogit.control
            • Description
            • Usage
            • Arguments
            • Value
          • predict
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • simulate.mclogit
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
        • Index
        • Technical documentation
          • The relation between baseline logit and conditional logit models
          • The IWLS algorithm used to fit conditional logit models
          • Approximate Inference for Multinomial Logit Models with Random Effects
            • The problem
            • The Laplace approximation and PQL
              • Laplace approximation
              • Penalized quasi-likelihood (PQL)
            • The Solomon-Cox approximation and MQL
              • The Solomon-Cox approximation
              • Marginal quasi-likelhood (MQL)
            • References
      • References
    • munfold: Metric Multidimensional Unfolding in R
      • Documentation
        • Manual pages
          • unfold
            • Description
            • Usage
            • Arguments
            • Value
            • Details
            • Examples
          • procrustes
            • Description
            • Usage
            • Arguments
            • Value
        • Index
    • mpred: Generic Predictive Margins
      • Documentation
        • Manual pages
          • cinorm
            • Description
            • Usage
            • Arguments
          • predmarg
            • Description
            • Usage
            • Arguments
            • Value
            • Details
            • Examples
        • Index
    • manifestos: Spatial Modelling of Party Manifestos (and other political texts)
      • Documentation
        • Manual pages
          • latpos
            • Description
            • Usage
            • Arguments
            • Value
            • Examples
          • latpos_restrictions
            • Description
            • Usage
            • Arguments
            • Value
          • latpos_tunefit
            • Description
            • Usage
            • Arguments
          • sampler
            • Description
            • Usage
            • Arguments
            • Value
        • Index
      • Downloads
    • iimm: Improved Inference for Multilevel Models with Few Clusters
      • Documentation
        • Manual pages
          • lmer_t
            • Description
            • Usage
            • Arguments
            • Value
        • Index
    • EMfit: An Infrastructure for Latent Variable Model Fitting using EM Algorithms
      • Documentation
        • Manual pages
          • EMfit
            • Description
            • Usage
            • Arguments
            • Value
          • Mstep.default
            • Description
            • Usage
            • Arguments
            • Value
        • Index
  • About
    • Contact
    • About this website
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