#' @title Examp2.4.2.2 from Duchateau, L. and Janssen, P. and Rowlands, G. J. (1998).\emph{Linear Mixed Models. An Introduction with applications in Veterinary Research}. International Livestock Research Institute.
#' @name Examp2.4.2.2
#' @docType data
#' @keywords datasets
#' @description Examp2.4.2.2 is used for inspecting probability distribution and to define a plausible process through
#' linear models and generalized linear models.
#' @author \enumerate{
#' \item Muhammad Yaseen (\email{myaseen208@@gmail.com})
#' }
#' @references \enumerate{
#' \item Duchateau, L. and Janssen, P. and Rowlands, G. J. (1998).\emph{Linear Mixed Models. An Introduction with applications in Veterinary Research}.
#' International Livestock Research Institute.
#' }
#' @seealso
#' \code{\link{ex124}}
#' @importFrom ggplot2 ggplot
#' @importFrom lme4 lmer
#' @importFrom lmerTest lsmeansLT
#' @examples
#' #-------------------------------------------------------------
#' ## Example 2.4.2.2 p-64
#' #-------------------------------------------------------------
#' # PROC MIXED DATA=ex125 METHOD=ML;
#' # CLASS drug dose region;
#' # MODEL pcv=drug dose drug*dose;
#' # RANDOM region drug*region;
#' # RUN;
#' #
#' # PROC MIXED DATA=ex125 METHOD=REML;
#' # CLASS drug dose region;
#' # MODEL pcv=drug dose drug*dose;
#' # RANDOM region drug*region;
#' # RUN;
#'
#'
#' library(lme4)
#' str(ex125)
#'
#' fm2.4 <-
#' lme4::lmer(
#' formula = Pcv ~ dose*Drug + (1|Region/Drug)
#' , data = ex125
#' , REML = FALSE
#' , control = lmerControl()
#' , start = NULL
#' , verbose = 0L
#' # , subset
#' # , weights
#' # , na.action
#' # , offset
#' , contrasts = NULL
#' , devFunOnly = FALSE
#' # , ...
#' )
#' summary(fm2.4)
#' anova(fm2.4)
#'
#' fm2.5 <-
#' lme4::lmer(
#' formula = Pcv ~ dose*Drug + (1|Region/Drug)
#' , data = ex125
#' , REML = TRUE
#' , control = lmerControl()
#' , start = NULL
#' , verbose = 0L
#' # , subset
#' # , weights
#' # , na.action
#' # , offset
#' , contrasts = NULL
#' , devFunOnly = FALSE
#' # , ...
#' )
#' summary(fm2.5)
#' anova(fm2.5)
#'
#' library(lmerTest)
#'
#' fm2.6 <-
#' lmerTest::lmer(
#' formula = Pcv ~ dose*Drug + (1|Region/Drug)
#' , data = ex125
#' , REML = FALSE
#' , control = lmerControl()
#' , start = NULL
#' , verbose = 0L
#' # , subset
#' # , weights
#' # , na.action
#' # , offset
#' , contrasts = NULL
#' , devFunOnly = FALSE
#' # , ...
#' )
#' summary(fm2.6)
#' anova(fm2.6)
#'
#' fm2.7 <-
#' lmerTest::lmer(
#' formula = Pcv ~ dose*Drug + (1|Region/Drug)
#' , data = ex125
#' , REML = TRUE
#' , control = lmerControl()
#' , start = NULL
#' , verbose = 0L
#' # , subset
#' # , weights
#' # , na.action
#' # , offset
#' , contrasts = NULL
#' , devFunOnly = FALSE
#' # , ...
#' )
#' summary(fm2.7)
#' anova(fm2.7)
#'
NULL
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