Spicing up your model soup!
Fit many regression models based on a vector of formulas and a fitting function. Minimal dependencies (only leifeld/texreg). Should work with any formula-based fitting function.
library(saltr)
data(mtcars)
f_lm <- c(
mpg ~ vs,
hp ~ vs,
disp ~ vs * am)
fit_models(f_lm, fitter=lm, data=mtcars,
output=FALSE, print=TRUE)
#>
#> ===============================================
#> mpg hp disp
#> -----------------------------------------------
#> (Intercept) 16.62 *** 189.72 *** 357.62 ***
#> (1.08) (11.35) (18.80)
#> vs 7.94 *** -98.37 *** -182.50 ***
#> (1.63) (17.16) (30.97)
#> am -151.40 ***
#> (32.55)
#> vs:am 66.09
#> (47.65)
#> -----------------------------------------------
#> R^2 0.44 0.52 0.75
#> Adj. R^2 0.42 0.51 0.72
#> Num. obs. 32 32 32
#> ===============================================
#> *** p < 0.001; ** p < 0.01; * p < 0.05
f_glm <- c(
vs ~ mpg,
am ~ mpg)
mods <- fit_models(f_glm,
fitter=glm, data=mtcars,
family=binomial('logit'),
output=TRUE, print=TRUE)
#>
#> ====================================
#> vs am
#> ------------------------------------
#> (Intercept) -8.83 ** -6.60 **
#> (3.16) (2.35)
#> mpg 0.43 ** 0.31 **
#> (0.16) (0.11)
#> ------------------------------------
#> AIC 29.53 33.68
#> BIC 32.46 36.61
#> Log Likelihood -12.77 -14.84
#> Deviance 25.53 29.68
#> Num. obs. 32 32
#> ====================================
#> *** p < 0.001; ** p < 0.01; * p < 0.05# Install development version from GitHub
remotes::install_github("sumtxt/saltr")