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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
Version
0.2.4
0.1.3
0.1.2
0.1.1
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)
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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