lmap0.2.4 package

Logistic Mapping

bootstrap.clmdu

Bootstrap procedure for Cumulative Logistic (Restricted) MDU

bootstrap.clpca

Bootstrap procedure for Cumulative Logistic (Restricted) PCA

bootstrap.lmdu

Bootstrap procedure for Logistic (Restricted) MDU

bootstrap.lpca

Bootstrap procedure for Logistic (Restricted) PCA

bootstrap.mcd

Bootstrap procedure for Multonimal Canonical Decomposition Model

bootstrap.mrrr

Bootstrap procedure for Multinomial Reduced Rank Model

bootstrap.mru

Bootstrap procedure for Multinomial Restricted Unfolding

clmdu

Cumulative Logistic (Restricted) MDU

clpca

Cumulative Logistic (Restricted) PCA

fastmbu

Fast version of mbu. It runs mbu without input checks.

fastmru

Fast version of mru. It runs mru without input checks.

ggplot2-ggproto

Plot an object obtained using one of the bootstrap functions

lmdu

Logistic (Restricted) MDU

lpca

Logistic (Restricted) PCA

make.df.for.varlabels

Helper function for the plot functions

make.dfs.for.X

Helper function for the plot functions

mcd1

Multinomial Canonical Decomposition Model for Multivariate Binary Data

mcd2

Multinomial Canonical Decomposition Model for a multinomial outcome

mlr

Multinomial Logistic Regression

mrrr

Multinomial Reduced Rank Regression

mru

Multinomial Restricted MDU

oos.comparison

This function compares the predictive performance of several models fi...

plot.clmdu

Plots a Cumulative Logistic MDU model

plot.clpca

Plots a Cumulative Logistic PCA model

plot.lmdu

Plots a Logistic MDU model

plot.lpca

Plots a Logistic PCA Model

plot.mrrr

Plots a Multinomial Reduced Rank Model

plot.mru

Plots a Multinomial Restricted MDU model

plot.trioscale

Plotting function for object of class trioscale

predict.clmdu

The function predict.clmdu makes predictions for a test/validation set...

predict.clpca

The function predict.clpca makes predictions for a test/validation set...

predict.lmdu

The function predict.lmdu makes predictions for a test/validation set ...

predict.lpca

The function predict.lpca makes predictions for a test/validation set ...

predict.mlr

The function predict.mlr makes predictions for a test/validation set b...

predict.mrrr

The function predict.mrrr makes predictions for a test/validation set ...

predict.mru

The function predict.mru makes predictions for a test/validation set b...

procrustes1

Two procedures for procrustes analysis

procx

Helper function for pre-processing the predictors

read_drugdata

Function for reading the drug consumption data from the UCI repository

read_isspdata_peb

Function to read in the ISSP data It requires the file ZA7650_v1-0-0.s...

summary.clmdu

Summarizing Cumulative Logistic MDU modelsThe function summary.lmdu gi...

summary.clpca

Summarizing Cumulative Logistic PCA models

summary.lmdu

Summarizing Logistic MDU models

summary.lpca

Summarizing Logistic PCA models

summary.mcd

Summarizing an Multinomial Canonical Decomposition Model

summary.mlr

Summarizing Multinomial Logistic Regression Model

summary.mrrr

Summarizing Multinomial Reduced Rank Model

summary.mru

Summarizing Multinomial Restricted Unfolding ModelThe function summary...

summary.trioscale

Summarizing TrioScale

theme_lmda

Theme_lmda

trioscale

Function for TRIOSCALE

twomodedistance

The function twomodedistance computes the two mode (unfolding) distanc...

Set of tools for mapping of categorical response variables based on principal component analysis (pca) and multidimensional unfolding (mdu).

  • Maintainer: Mark de Rooij
  • License: BSD_2_clause + file LICENSE
  • Last published: 2025-01-24