RunModels: RunModels

In Boodogs/zoon-clone: Reproducible, Accessible & Shareable Species Distribution Modelling

Description

A function to train and predict crossvalidation folds and train one full model and predict any external validation data. This function is primarily used internally but can be used when running workflows interactively (see vignette basic zoon useage)

Usage

RunModels(df, modelFunction, paras, workEnv)

Arguments

df	Dataframe from process module. Should contain columns value, type, lon, lat and fold, a number indicating which cross validation set a datapoint is in. If fold is 0 then this is considered external validation data If all data is 0 or 1, then no cross validation is run.
modelFunction	String giving the name of the model function which is in turn the name of the module.
paras	All other parameters that should be passed to the model function. i.e. model[[1]]$paras
workEnv	The environment name of the workflow call environment.

Value

A list of length 2 containing the model trained on all data and a data.frame which contains value, type, fold, lon, lat, predictions and then all environmental variables.

Boodogs/zoon-clone documentation built on May 6, 2019, 7:59 a.m.