variance_jackknife()
and variance_bootstrap()
to prevent estimation recycling, results from those functions are now comparable to doing jackknife / bootstrap "by hand". predict()
function for PLNfit model to (i) return fitted values if newdata is missing or (ii) perform one VE step to improve fit if responses are provided (fix issue #114)scale
argument compute_offset() to force the offsets (RLE, CSS, GMPR, Wrench) to be on the same scale as the counts, like TSS.clusters
) is not of the form 1:K_max
PLNmixture_param() for PLNmixture The use of 'control = list()' is deprecated: the code stop and send an error.
The regression coefficients are now denoted by B, not Theta, such as B = t(Theta). We keep on sending back Theta as a field of myPLN$model_par$Theta, but this will soon be deprecated
PLNLDA()
and changing extract_model()
to conform with model.frame()
$VEStep()
for PLN-PCA, dealing with low rank matrices$project()
for PLN-PCA, used to project newdata into PCA space$latent_pos()
which is equivalent to active binding $latent
NEWS.md
file to track changes to the package.Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.