calcCrossValidMetrics: CALCULATE VALIDATION METRICS AND CONFUSION MATRIX

In CeresBarros/ToolsCB: Ceres's Useful R Functions

CALCULATE VALIDATION METRICS AND CONFUSION MATRIX

Description

to allow caching without digesting the large data table

Usage

calcCrossValidMetrics(
  samp,
  fullDT,
  origData,
  statsModel,
  origDataVars,
  level = NULL,
  cacheArgs = NULL
)

Arguments

samp	the sample number to pick to use as the test data set
fullDT	the full dataset (not necessarily the one used to fit statsModel, which could have been a subset (e.g. fewer columns))
origData	the data used to fit statsModel
statsModel	the fitted model
origDataVars	a character vector of the variables used in model fitting (including response variable and random effects.)
level	passed to gamlss:::predict
cacheArgs	a named list of arguments passed to Cache

Value

a list with 2 entries

CeresBarros/ToolsCB documentation built on Aug. 23, 2024, 4:22 p.m.