R/rigr-package.R

In rigr: Regression, Inference, and General Data Analysis Tools in R

#' Regression, Inference, and General Data Analysis Tools in R
#'
#' Developed by Scott S. Emerson, Andrew J. Spieker, Brian D.
#' Williamson, and Travis Y. Hee Wai at the University of
#' Washington Department of Biostatistics. Currently maintained by
#' Prof. Amy Willis at the University of Washington Department of Biostatistics.
#' Previously maintained by Charles Wolock and Taylor Okonek, also at the
#' University of Washington Department of Biostatistics. Aims to facilitate
#' regression, descriptive statistics, and one- and two-sample
#' inference by implementing more intuitive layout and functionality for
#' existing R functions.
#'
#' \tabular{ll}{ Package: \tab rigr\cr Type: \tab Package\cr Version:
#' \tab 1.0.0\cr Date: \tab 2021-09-10\cr License: \tab MIT\cr } A set of
#' tools designed to facilitate easy adoption of R for students in introductory
#' classes with little programming experience. Compiles output from existing
#' routines together in an intuitive format, and adds functionality to existing
#' functions. For instance, the regression function can perform linear models
#' and generalized linear models. The user can also specify multiple-partial F-tests
#' to print out with the model coefficients, and robust standard errors are
#' provided automatically. We also provide functions for descriptive statistics and one-
#' and two-sample inference with improved, legible output.
#'
#' @name rigr-package
#' @aliases rigr-package rigr
#' @docType package
#' @author Scott S. Emerson, Andrew J. Spieker, Brian D.
#' Williamson, Amy D. Willis, Charles Wolock, and Taylor Okonek
#'
#' Maintainer: Amy Willis <adwillis@@uw.edu>
#' @keywords package
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