Tblock_SPrand: Temporal blocked and randomly assigned spatial CV

In mrfoliveira/STResampling-DSAA2019: Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting

Description

Fold allocation of k-fold CV using:

• blocked time

• randomly assigned locations

Usage

Tblock_SPrand(data, nfolds, t.nfolds = round(sqrt(nfolds)),
  sp.nfolds = round(sqrt(nfolds)), time = "time", site_id = "site")

Arguments

data	full dataset
nfolds	number of folds
t.nfolds	number of folds across time. Default is sqrt(nfolds)
sp.nfolds	number of folds across space. Default is sqrt(nfolds)
time	column name of time-stamp in data. Default is "time"
site_id	column name of location identifier in data. Default is "site"

Value

A list with slots:

• data, possibly re-ordered

• f, a vector with the fold numbers (from 1 to nfolds) of each row in data

mrfoliveira/STResampling-DSAA2019 documentation built on April 9, 2021, 5:39 a.m.