ModelResults: Study the outputs and predictions of a specific model

In statnmap/SDMSelect: Cross-validation model selection and species distribution mapping

Description

Study the outputs and predictions of a specific model

Usage

ModelResults(
  saveWD,
  plot,
  Num = NULL,
  model = NULL,
  modeltype = NULL,
  powerXI = NULL,
  Marginals = FALSE,
  zip.file = TRUE,
  cl = NULL,
  n.ech.marginal = 5000
)

Arguments

saveWD	directory where outputs of the cross-validation procedure have been saved or zip.file of this directory. All necessary information have been saved in this directory to be able to compile results. This is the only output of findBestModel in the global R environment.
plot	logical Whether to do plot outputs or not. Although there are not a lot of other types of outputs...
Num	numeric The 'Num' value of the model retained for further analysis like those saved in AllModels_crossV_ordered. Not useful if model and Family are set. Default to the first model in AllModels_crossV_ordered.
model	character string A user-defined model specification. This requires to set the Family parameter. This overrides effects of 'Num', however, if the model exists with the exact same expression in the list of model fitted, 'Num' will be re-attributed.
modeltype	The type of the model as chosen among modeltypes available (see modelselect_opt)
powerXI	XI parameter for a tweedie model.
Marginals	Calculate full marginal prediction for each covariate
zip.file	TRUE (default) to save all outputs in a zipfile with saveWD, FALSE for no zipfile output, or path to a new zip file
cl	a cluster as made with makeCluster. If cl is empty, nbclust in modelselect_opt will be used to create a cluster.
n.ech.marginal	5000 by default. Number of random samples for marginals estimations.

statnmap/SDMSelect documentation built on April 1, 2021, 2:01 p.m.