parallel_regression: Parallel computation of multiple regression models
In strengejacke/forgettable:

Description Usage Arguments Value Examples

View source: R/parellel_regression.R

Parallel computation of multiple regression models.

1	parallel_regression(data, calls)

`data`	A data frame, or a list of data frames.
`calls`	Character vector, where each element is a function call to a regression. The `data`-argument must always have the value `i`.
`cores`	Numeric, the number of cores to use.

A list of regression model objects.

library(lme4)
data(sleepstudy)

models = c(
  "lme4::lmer(Reaction ~ 1 + (1 | Subject), data = i)",
  "lme4::lmer(Reaction ~ Days + (Days | Subject), data = i)",
  "lme4::lmer(Reaction ~ Days + (1 | Subject) + (0 + Days | Subject), data = i)"
)

parallel_regression(sleepstudy, models)