radish_cv: radish cross validation

In nspope/radishDGS: Functions to conduct genetic simulations for DGS project

Description

Function to conduct cross validation of 'radish' models

Usage

XXX

Arguments

pts	SpatialPoints object of sampled demes
covariates	RasterStack of raster layers for 'radish' model
fmla	Formula for model to be assessed. LHS should be the name of the distance matrix, RHS contains names of layers in 'covariates'
model	c('mlpe', 'wishart')
prop_train	Proportion of sample points used for fitting a training model. The remainder of points will be used in assessment.
fit_full	Should the full 'radish' model with all sample demes be fit (Default = TRUE)
...	Not used

Value

Named list containing the 'radish' model fit to the training data, the loglikehood of the test data, and (optionally) the model fit to the complete data set.

Author(s)

Bill Peterman

Examples

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nspope/radishDGS documentation built on Sept. 15, 2020, 10:43 p.m.