lolo.cv: LOLO CV

In gregorywatson/lolo:

Description

LOLO Cross-Validation

Usage

lolo.cv(y, x, location.index, eta, Q = mse, n.cores = 4)

Arguments

y	n x 1 vector of outcomes.
x	n x p matrix of covariates.
location.index	n x 1 index of observation locations.
eta	prediction rule with 3 arguments (training outcome, training covariates, test covariates)
Q	loss function. Defaults to mse.
n.cores	number of cores (defaults to 4).

Details

This function performs leave-one-location-out cross-validation.

Examples

lolo.cv()

gregorywatson/lolo documentation built on May 23, 2019, 7:03 p.m.