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lmap (version 0.2.4)

Logistic Mapping

Description

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

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Version

Install

install.packages('lmap')

Monthly Downloads

241

Version

0.2.4

License

BSD_2_clause + file LICENSE

Maintainer

Mark de Rooij

Last Published

January 24th, 2025

Functions in lmap (0.2.4)

bootstrap.clmdu

Bootstrap procedure for Cumulative Logistic (Restricted) MDU
oos.comparison

This function compares the predictive performance of several models fitted on the same data
clpca

Cumulative Logistic (Restricted) PCA
dataExample_clmdu

Dummy data for clmdu example
predict.lpca

The function predict.lpca makes predictions for a test/validation set based on a fitted lrrr model (lpca with X)
read_drugdata

Function for reading the drug consumption data from the UCI repository
bootstrap.clpca

Bootstrap procedure for Cumulative Logistic (Restricted) PCA
predict.clpca

The function predict.clpca makes predictions for a test/validation set based on a fitted clrrr model (clpca with X)
summary.lmdu

Summarizing Logistic MDU models
dataExample_mru

Dummy data for mru example
mlr

Multinomial Logistic Regression
bootstrap.mcd

Bootstrap procedure for Multonimal Canonical Decomposition Model
dataExample_lpca

Dummy data for lpca example
plot.mru

Plots a Multinomial Restricted MDU model
plot.bootstrap

Plot an object obtained using one of the bootstrap functions
summary.trioscale

Summarizing TrioScale
kieskompas

Kieskompas data
bootstrap.mrrr

Bootstrap procedure for Multinomial Reduced Rank Model
mrrr

Multinomial Reduced Rank Regression
make.dfs.for.X

Helper function for the plot functions
mru

Multinomial Restricted MDU
mcd1

Multinomial Canonical Decomposition Model for Multivariate Binary Data
theme_lmda

Theme_lmda
diabetes

Diabetes data
plot.lpca

Plots a Logistic PCA Model
dataExample_clpca

Dummy data for clpca example
plot.mrrr

Plots a Multinomial Reduced Rank Model
dataExample_lmdu

Dummy data for lmdu example
bootstrap.mru

Bootstrap procedure for Multinomial Restricted Unfolding
lmdu

Logistic (Restricted) MDU
procx

Helper function for pre-processing the predictors
procrustes1

Two procedures for procrustes analysis
liver

Liver
clmdu

Cumulative Logistic (Restricted) MDU
fastmbu

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

Plots a Logistic MDU model
dpes

Dutch Parliamentary Election Study
plot.clmdu

Plots a Cumulative Logistic MDU model
make.df.for.varlabels

Helper function for the plot functions
predict.mlr

The function predict.mlr makes predictions for a test/validation set based on a fitted mlr model
plot.clpca

Plots a Cumulative Logistic PCA model
summary.clmdu

Summarizing Cumulative Logistic MDU models The function summary.lmdu gives a summary from an object from clmdu()
summary.mlr

Summarizing Multinomial Logistic Regression Model
predict.mrrr

The function predict.mrrr makes predictions for a test/validation set based on a fitted mrrr model
summary.clpca

Summarizing Cumulative Logistic PCA models
lpca

Logistic (Restricted) PCA
read_isspdata_peb

Function to read in the ISSP data It requires the file ZA7650_v1-0-0.sav to be on your computer this file can be obtained from /www.gesis.org/en/issp/modules/issp-modules-by-topic/environment/2020 ZA7650 Data file Version 1.0.0, https://doi.org/10.4232/1.13921.
summary.lpca

Summarizing Logistic PCA models
bootstrap.lmdu

Bootstrap procedure for Logistic (Restricted) MDU
bootstrap.lpca

Bootstrap procedure for Logistic (Restricted) PCA
predict.lmdu

The function predict.lmdu makes predictions for a test/validation set based on a fitted lrmdu model (lmdu with X)
summary.mcd

Summarizing an Multinomial Canonical Decomposition Model
fastmru

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

Function for TRIOSCALE
twomodedistance

The function twomodedistance computes the two mode (unfolding) distance
summary.mrrr

Summarizing Multinomial Reduced Rank Model
mcd2

Multinomial Canonical Decomposition Model for a multinomial outcome
predict.clmdu

The function predict.clmdu makes predictions for a test/validation set based on a fitted cl restricted multidimensional unfolding model (clmdu with X)
plot.trioscale

Plotting function for object of class trioscale
summary.mru

Summarizing Multinomial Restricted Unfolding Model The function summary.mru gives a summary from an object from mru()
predict.mru

The function predict.mru makes predictions for a test/validation set based on a fitted mru model
nesda

Netherlands Study for Depression and Anxiety