Man pages for DrBats
Data Representation: Bayesian Approach That's Sparse
| calc.loglik | Calculate the log likelihood of the model |
| coda.obj | Convert a STAN objet to MCMC list |
| coinertia.drbats | Perform Coinertia Analysis on the PCA of the Weighted PCA and... |
| 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 |
| weighted.Deville | Perform a weighted PCA using Deville's method on a data... |
| W.QR | Build and decompose a low-rank matrix W |
