colvR 0.2.0

Breaking changes

Predictions.marginales() has been removed: use Predictions(type = "marginal").
select_model_bic() now returns a list with the criterion values, the selected latent dimension (q_star) and the corresponding fit (fit_star), instead of a vector of BIC values.
In Miss.PLNPCA(), q is now the third argument, as in Miss.ZIPLNPCA().
The example dataset fuligule_milouin has been replaced by waterbird, with anonymized sites and years and without the latitude covariate.

Predictions() gains the arguments type (conditional or marginal intervals), probs (quantile levels), output (draws, latent variables and parameter draws in addition to the intervals), cl (parallel VE steps) and verbose.
New function ICL(), the Integrated Completed Likelihood.
select_model_bic() gains the arguments criterion (BIC or ICL) and model.
BIC() gains the argument model ("ZIPLNPCA" or "PLNPCA").

BIC() now counts 2d regression parameters for the ZIP-PLN-PCA model, and d or pd for the PLN-PCA model, depending on the design.
select_model_bic() now works with non-contiguous values of latents.
In the Miss.ZIPLNPCA*() functions, pred$predicted is now the ZIP expectation xi * A, consistent with imputed.
Predictions() no longer fails when q = 1.

All examples are now runnable, on small simulated data.
New unit tests for the selection criteria, select_model_bic(), Predictions() and Miss.ZIPLNPCA().
All messages are now in English.