Package: logisticPCA 0.2.9000

logisticPCA: Binary Dimensionality Reduction

Dimensionality reduction techniques for binary data including logistic PCA.

Authors:Andrew J. Landgraf

# Install 'logisticPCA' in R:

install.packages('logisticPCA', repos = c('https://andland.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On CRAN:

Last updated 5 years agofrom:26363c9695. Checks:1 ERROR, 11 WARNING. Indexed: yes.

Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.

Andrew J. Landgraf

Last update: 2020-09-07
Started: 2015-08-29

Help page	Topics
logisticPCA-package	logisticPCA-package
Convex Logistic Principal Component Analysis	convexLogisticPCA
CV for convex logistic PCA	cv.clpca
CV for logistic PCA	cv.lpca
CV for logistic SVD	cv.lsvd
Fitted values using logistic PCA	fitted.lpca
Fitted values using logistic SVD	fitted.lsvd
United States Congressional Voting Records 1984	house_votes84
Inverse logit for matrices	inv.logit.mat
Bernoulli Log Likelihood	log_like_Bernoulli
Logistic Principal Component Analysis	logisticPCA
Logistic Singular Value Decomposition	logisticSVD
Plot convex logistic PCA	plot.clpca
Plot CV for logistic PCA	plot.cv.lpca
Plot logistic PCA	plot.lpca
Plot logistic SVD	plot.lsvd
Predict Convex Logistic PCA scores or reconstruction on new data	predict.clpca
Predict Logistic PCA scores or reconstruction on new data	predict.lpca
Predict Logistic SVD left singular values or reconstruction on new data	predict.lsvd
Project onto the Fantope	project.Fantope