predict.LEGIT: Predictions of LEGIT fits

In AlexiaJM/LEGIT: Latent Environmental & Genetic InTeraction (LEGIT) Model

Description

Predictions of LEGIT fits.

Usage

predict.LEGIT

Arguments

object	An object of class "LEGIT", usually, a result of a call to LEGIT.
data	data.frame of the dataset to be used.
genes	data.frame of the variables inside the genetic score G (can be any sort of variable, doesn't even have to be genetic).
env	data.frame of the variables inside the environmental score E (can be any sort of variable, doesn't even have to be environmental).
...	Further arguments passed to or from other methods.

Format

An object of class function of length 1.

Value

Returns a vector with the predicted values.

Examples

train = example_2way(250, 1, seed=777)
test = example_2way(100, 1, seed=666)
fit = LEGIT(train$data, train$G, train$E, y ~ G*E)
ssres = sum((test$data$y - predict(fit, test$data, test$G, test$E))^2)
sstotal = sum((test$data$y - mean(test$data$y))^2)
R2 = 1 - ssres/sstotal

AlexiaJM/LEGIT documentation built on Feb. 14, 2021, 8:24 p.m.