is_count

Checks if the variable is a count variable

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

is_count function

<dl><dt>x</dt>
<dd>vector to be checked</dd>
<dt>tol</dt>
<dd>Tolerance</dd></dl>

Arguments

Check for count variable — is_count

<dl>

<dt>x</dt>
<dd>vector to be checked</dd>


<dt>tol</dt>
<dd>Tolerance</dd>

</dl>

is_count: Check for count variable

Description

Usage

Value

Arguments