mods: Fitted models

Description Source

Description

List of fitted models as returned by functions mopaTrain and extractFromModel.

Source

# RS_random is the result of running the following code:

data(Oak_phylo2)

presences <- Oak_phylo2$H11

destfile <- tempfile()

data.url <- "https://raw.githubusercontent.com/SantanderMetGroup/mopa/master/data/biostack.rda"

download.file(data.url, destfile)

load(destfile, verbose = TRUE)

r <- biostack$baseline[[1]]

## Background of the whole study area bg <- backgroundGrid(r)

## Considering an unique background extent

RS_random <-pseudoAbsences(xy = presences, background = bg$xy, realizations = 5, exclusion.buffer = 0.083*5, prevalence = -0.5, kmeans = FALSE)

fittedModels <- mopaTrain(y = RS_random, x = biostack$baseline, k = 10, algorithm = "mars")

mods <- extractFromModel(models = fittedModels, value = "model")


mopa documentation built on May 2, 2019, 6:47 a.m.