countreg | R Documentation |
This function is the main function of the package and can be used to estimate latent variable count regression models in one or multiple group(s).
countreg(
forml,
data,
lv = NULL,
group = NULL,
family = "poisson",
silent = FALSE,
se = TRUE,
creg_options = NULL
)
forml |
An object of class |
data |
A data frame containing all variables specified in |
lv |
A named list, where names of elements represent the names of the
latent variables and each element consists of a character vector containing
variable names of indicators for the respective latent variable, e.g.,
|
group |
A group variable. If specified, the regression model specified
in |
family |
A character indicating the family of the generalized linear
model to be estimated. At the moment, |
silent |
Logical. Should informations about the estimation process be suppressed? (Defaults to FALSE) |
se |
Logical. Should standard errors be computed? Defaults to TRUE. (Can take a while for complex models) |
creg_options |
optional list of additional options for the estimation procedure |
An object of type lavacreg
. Use summary(object)
to
print results containing parameter estimates and their standard errors.
fit <- countreg(forml = "dv ~ z11", data = example01, family = "poisson")
summary(fit)
fit <- countreg(
forml = "dv ~ eta1 + z11 + z21",
lv = list(eta1 = c("z41", "z42", "z43")),
group = "treat",
data = example01,
family = "poisson"
)
summary(fit)
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