modelqualstats: Compute Model Quality Information

In sustainablefarms/msod: Multispecies Occupancy Detection Models

Compute Model Quality Information

Description

Compute Model Quality Information

Usage

modelqualstats(
  fit,
  holdoutXocc,
  holdoutXobs,
  holdoutModelSite,
  holdouty,
  cl,
  nlvperdraw = 1000,
  ...
)

Arguments

fit	a model fitted using run.detectionoccupancy
holdoutXocc	A data frame of occupancy predictors for sites.
cl	A cluster created by parallel::makeCluster
holdoutyXobs	A data frame of detection information and species detections
ModelSite	Column names used to match the holdoutyXobs to sites in holdoutXocc

Examples

fit <- readRDS("../sflddata/private/data/testdata/cutfit_7_4_11_2LV.rds")
fit <- translatefit(fit)
Xocc <- sflddata::unstandardise.designmatprocess(fit$XoccProcess, fit$data$Xocc)
Xocc$ModelSite <- 1:nrow(Xocc)
Xobs <- sflddata::unstandardise.designmatprocess(fit$XobsProcess, fit$data$Xobs)
Xobs$ModelSite <- fit$data$ModelSite
y <- fit$data$y
yXobs <- cbind(Xobs, y)
cl <- parallel::makeCluster(1)
quality <- modelqualstats(fit, holdoutXocc = Xocc, holdoutXobs = Xobs, holdoutModelSite = Xobs$ModelSite,
holdouty = y, cl = cl, nlvperdraw = 10)

out <- msod:::modelqualstats_insample(fit, cl, nlvperdraw = 10)

sustainablefarms/msod documentation built on March 6, 2023, 7:17 a.m.