R/Exam2.B.2.R

In StroupGLMM: R Codes and Datasets for Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup

#' @title Example 2.B.2 from Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup(p-54)
#' @name   Exam2.B.2
#' @description Exam2.B.2 is used to visualize the effect of glm model statement with binomial data with logit and probit links.
#' @author \enumerate{
#'          \item  Muhammad Yaseen (\email{myaseen208@@gmail.com})
#'          \item Adeela Munawar (\email{adeela.uaf@@gmail.com})
#'          }
#' @references \enumerate{
#' \item Stroup, W. W. (2012).
#'      \emph{Generalized Linear Mixed Models: Modern Concepts, Methods and Applications}.
#'        CRC Press.
#'  }
#' @seealso
#'    \code{\link{DataExam2.B.2}}
#'
#' @import parameters
#' @importFrom stats glm summary.glm
#'
#' @examples
#' #-----------------------------------------------------------------------------------
#' ## probitit Model  discussed in Example 2.B.2 using DataExam2.B.2
#' ## Default link is logit
#' ## using fmaily = binomial gives warning message of no-integer successes
#' #-----------------------------------------------------------------------------------
#' data(DataExam2.B.2)
#' Exam2.B.2glm <- glm(formula = y/n~x, family = quasibinomial(link = "probit"), data =  DataExam2.B.2)
#' summary(Exam2.B.2glm)
#' library(parameters)
#' model_parameters(Exam2.B.2glm)
NULL