manyregs-package: manyregs - Flexible and concise regression analysis

In cbaumbach/manyregs: manyregs --- Flexible and concise regression analysis

Description

The manyregs package provides a concise and yet flexible way to specify, fit, summarize, and plot potentially large numbers of regression models.

Examples

N <- 100L
data <- data.frame(
    y1 = factor(as.integer(cut(rnorm(N), 2)) - 1L),
    y2 = factor(as.integer(cut(rnorm(N), 2)) - 1L),
    x1 = factor(as.integer(cut(rnorm(N), 2)) - 1L),
    x2 = factor(as.integer(cut(rnorm(N), 3))),
    x3 = rnorm(N),
    z1 = factor(as.integer(cut(rnorm(N), 3))),
    z2 = rnorm(N))

outcomes <- c("y1", "y2")
exposures <- c("x1", "x2", "x3")
adjustments <- list("z1", c("z1", "z2"))

logistic <- function(model, data) {
    with(data, glm(as.formula(model), family = "binomial"))
}

models <- create_models(outcomes, exposures, adjustments, logistic)
fitted_models <- fit_models(models, data)
summarized_models <- summarize_models(fitted_models)
## Not run: 
create_pdf("plots.pdf", fitted_models, rows = "exposures", columns = "outcomes")

## End(Not run)

cbaumbach/manyregs documentation built on May 13, 2019, 1:48 p.m.