DrBats

Build and decompose a low-rank matrix W

Calculate the log likelihood of the model

Convert a STAN objet to MCMC list

Perform Coinertia Analysis on the PCA of the Weighted PCA and Deville's PCA

Main simulation function

Project a set of curves onto a histogram basis

Fit a Bayesian Latent Factor to a data set using STAN

Perform a PCA using Deville's method

PCA data projected onto a histogram basis

Calculate the unnormalized posterior density of the model

A stanfit object fitted to the toydata

A toy longitudinal data set

Plot the estimates for the latent factors

Format scores output for visualization

Perform a weighted PCA using Deville's method on a data matrix X that we project onto a histogram basis and weighted