R/pkgname.R

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

#' manyregs --- Flexible and concise regression analysis
#'
#' 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)
#' \dontrun{
#' create_pdf("plots.pdf", fitted_models, rows = "exposures", columns = "outcomes")
#' }
"_PACKAGE"