Artificial Example for Binomial Regression
A simple artificial regression example data set with 3 latent
classes, one independent variable x
and a concomitant
variable w
.
data("BregFix")
A data frame with 200 observations on the following 5 variables.
yes
number of successes
no
number of failures
x
independent variable
w
concomitant variable, a factor with levels 0
1
class
latent class memberships
data("BregFix", package = "flexmix") Model <- FLXMRglmfix(family="binomial", nested = list(formula = c(~x, ~0), k = c(2, 1))) Conc <- FLXPmultinom(~w) FittedBin <- initFlexmix(cbind(yes, no) ~ 1, data = BregFix, k = 3, model = Model, concomitant = Conc) summary(FittedBin)
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