Description Author(s) References See Also Examples
Exam2.B.4 is used to illustrate one way treatment design with Binomial observations.
Muhammad Yaseen (myaseen208@gmail.com)
Adeela Munawar (adeela.uaf@gmail.com)
Stroup, W. W. (2012). Generalized Linear Mixed Models: Modern Concepts, Methods and Applications. CRC Press.
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## 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)
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