
Subformula constructs the subformulas of a formula object. Use this to speed up tasks such as model selection and comparison of models.
Install the development version from GitHub with:
There are two functions in the package, subformula and fapply. subformulas creates subformulas while fapply is a member of the apply family tailored for fitting a statistical model for each formula in a list of formulas.
A formula sub is a subformula of formula if (i) all the terms on the right hand side of sub are terms of form and (ii) their left hand sides are identical. subformula finds every subformula of formula that contains each term in protected.
library("subformula")
formula = mpg ~ wt + gear + cyl
subformula(formula, protected = ~ cyl)
#> [[1]]
#> mpg ~ cyl
#>
#> [[2]]
#> mpg ~ wt + cyl
#>
#> [[3]]
#> mpg ~ gear + cyl
#>
#> [[4]]
#> mpg ~ wt + gear + cylNow apply the subformulas to a model function such as lm with fapply.
models = fapply(subformula(formula, protected = ~ cyl), lm, data = mtcars)
lapply(models, AIC)
#> $`mpg ~ cyl`
#> [1] 169.3064
#>
#> $`mpg ~ wt + cyl`
#> [1] 156.0101
#>
#> $`mpg ~ gear + cyl`
#> [1] 170.7377
#>
#> $`mpg ~ wt + gear + cyl`
#> [1] 157.4991If you encounter a bug, have a feature request or need some help, open a Github issue. This project follows a Contributor Code of Conduct.