stack_coeff {modelfactory}

Stack coefficents, confidence intervals, and standard errors for n models.

Description

stack_coeff() takes several lm or glm models, pulls out their coefficients, standard errors, and confidence intervals, and stacks everything into a tibble() for easy comparison across models.

Usage

stack_coeff(..., ci = 0.95)

Arguments

...

lm or glm models to summarize and combine.

ci

width of confidence, default = 0.95.

Value

A tibble() with coefficients, confidence intervals, and standard errors.

Examples

# multiple lm example ----------------------------------
lm_1 = lm(mpg ~ cyl + disp + hp, data = mtcars)
lm_2 = lm(mpg ~ hp + drat + wt, data = mtcars)
lm_3 = lm(mpg ~ ., data = mtcars)
lm_combined = stack_coeff(lm_1, lm_2, lm_3)
lm_combined

# sometimes you might just want 1 model's summary ------
single_lm = stack_coeff(lm_1)
single_lm

# glm example ------------------------------------------
glm_1 = glm(vs ~ drat + hp, data = mtcars)
glm_2 = glm(vs ~ wt + qsec, data = mtcars)
glm_3 = glm(vs ~ ., data = mtcars)
glm_combined = stack_coeff(glm_1, glm_2, glm_3)
glm_combined