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PLNmodels 1.1.0 (2024-01-08)
Update documentation of PLN*_param() functions to include torch optimization parameters
Add (somehow) explicit error message when torch convergence fails
Change initialization in variance_jackknife() and variance_bootstrap() to prevent estimation recycling, results from those functions are now comparable to doing jackknife / bootstrap "by hand".
bootstrap estimation of the variance of model parameter
improved interface for model initialization / optimisation parameters, which
are now passed on to jackknife / bootstrap post-treatments
better support of GPU when using torch backend
Change behavior of 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)