Data Representation: Bayesian Approach That's Sparse

---

Documentation for package ‘DrBats’ version 0.1.6

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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