Exam2.B.4 {StroupGLMM}

Example 2.B.4 from Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup(p-56)

Description

Exam2.B.4 is used to illustrate one way treatment design with Binomial observations.

Author(s)

1. Muhammad Yaseen ([e-mail])

2. Adeela Munawar ([e-mail])

References

1. Stroup, W. W. (2012). Generalized Linear Mixed Models: Modern Concepts, Methods and Applications. CRC Press.

See Also

DataExam2.B.4

Examples

#-----------------------------------------------------------------------------------
## logit Model  discussed in Example 2.B.2 using DataExam2.B.4
## Default link is logit
## using fmaily=binomial gives warning message of no-integer successes
#-----------------------------------------------------------------------------------
data(DataExam2.B.4)
DataExam2.B.4$trt <- factor(x =  DataExam2.B.4$trt)
Exam2.B.4glm <-
  glm(
         formula    =  Yij/Nij~trt
       , family     =  quasibinomial(link = "probit")
       , data       =  DataExam2.B.4
       , weights    =  NULL
    #  , subset
    #  , na.action
       , start      =  NULL
    #  , etastart
    #  , mustart
    #  , offset
    #  , control    =  list(...)
    #  , model      =  TRUE
       , method     =  "glm.fit"
    #  , x          =  FALSE
    #  , y          =  TRUE
       , contrasts  =  NULL
    #  , ...
  )
summary(Exam2.B.4glm)