summary,lavacreg-method

Exports the parameter table with parameter estimates and standard errors
for an estimated latent variable count regression model.

Estimation of a multi-group count regression models (i.e., Poisson,
negative binomial) with latent covariates. This packages provides two extensions
compared to ordinary count regression models based on a generalized linear model:
First, measurement models for the predictors can be specified allowing to account
for measurement error. Second, the count regression can be simultaneously estimated
in multiple groups with stochastic group weights. The marginal maximum likelihood
estimation is described in Kiefer & Mayer (2020) <doi:10.1080/00273171.2020.1751027>.

Christoph Kiefer

lavacreg

Latent Variable Count Regression Models

summary,lavacreg-method function

<dl><dt>object</dt>
<dd>lavacreg object</dd></dl>

Arguments

Summary of a lavacreg object — summary,lavacreg-method

<dl>

<dt>object</dt>
<dd>lavacreg object</dd>

</dl>

summary,lavacreg-method: Summary of a lavacreg object

Description

Usage

Value

Arguments