Exam2.B.2: Example 2.B.2 from Generalized Linear Mixed Models: Modern...

In MYaseen208/StroupGLMM: R Codes and Datasets for Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup

Description

Exam2.B.2 is used to visualize the effect of glm model statement with binomial data with logit and probit links.

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.2

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
    , 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.2glm)

MYaseen208/StroupGLMM documentation built on May 7, 2019, 2:07 p.m.