R: Data Representation: Bayesian Approach That's Sparse

# Data Representation: Bayesian Approach That's Sparse

## Documentation for package ‘DrBats’ version 0.1.6

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

coda.obj | Convert a STAN objet to MCMC list
coinertia.drbats | Perform Coinertia Analysis on the PCA of the Weighted PCA and Deville's PCA
drbats.simul | Main simulation function
histoProj | Project a set of curves onto a histogram basis
modelFit | Fit a Bayesian Latent Factor to a data set using STAN
pca.Deville | Perform a PCA using Deville's method
pca.proj.Xt | PCA data projected onto a histogram basis
postdens | Calculate the unnormalized posterior density of the model
stanfit | A stanfit object fitted to the toydata
toydata | A toy longitudinal data set
visbeta | Format scores output for visualization
visW | Plot the estimates for the latent factors
W.QR | Build and decompose a low-rank matrix W
weighted.Deville | Perform a weighted PCA using Deville's method on a data matrix X that we project onto a histogram basis and weighted