Logistic Mapping

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Documentation for package ‘lmap’ version 0.2.4

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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
dataExample_clmdu Dummy data for clmdu example
dataExample_clpca Dummy data for clpca example
dataExample_lmdu Dummy data for lmdu example
dataExample_lpca Dummy data for lpca example
dataExample_mru Dummy data for mru example
diabetes Diabetes data
dpes Dutch Parliamentary Election Study
fastmbu Fast version of mbu. It runs mbu without input checks.
fastmru Fast version of mru. It runs mru without input checks.
kieskompas Kieskompas data
liver Liver
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
nesda Netherlands Study for Depression and Anxiety
oos.comparison This function compares the predictive performance of several models fitted on the same data
plot.bootstrap Plot an object obtained using one of the bootstrap functions
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 based on a fitted cl restricted multidimensional unfolding model (clmdu with X)
predict.clpca The function predict.clpca makes predictions for a test/validation set based on a fitted clrrr model (clpca with X)
predict.lmdu The function predict.lmdu makes predictions for a test/validation set based on a fitted lrmdu model (lmdu with X)
predict.lpca The function predict.lpca makes predictions for a test/validation set based on a fitted lrrr model (lpca with X)
predict.mlr The function predict.mlr makes predictions for a test/validation set based on a fitted mlr model
predict.mrrr The function predict.mrrr makes predictions for a test/validation set based on a fitted mrrr model
predict.mru The function predict.mru makes predictions for a test/validation set based on a fitted mru model
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.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.clmdu Summarizing Cumulative Logistic MDU models The function summary.lmdu gives a summary from an object from clmdu()
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 Model The function summary.mru gives a summary from an object from mru()
summary.trioscale Summarizing TrioScale
theme_lmda Theme_lmda
trioscale Function for TRIOSCALE
twomodedistance The function twomodedistance computes the two mode (unfolding) distance