summary.sem

<code>summary</code> method for class <code>"sem"</code>.

Functions that provide statistical methods for interval-censored (grouped) data. The package supports the estimation of linear and linear mixed regression models with interval-censored dependent variables. Parameter estimates are obtained by a stochastic expectation maximization algorithm. Furthermore, the package enables the direct (without covariates) estimation of statistical indicators from interval-censored data via an iterative kernel density algorithm. Survey and Organisation for Economic Co-operation and Development (OECD) weights can be included into the direct estimation (see, Walter, P. (2019) <doi:10.17169/refubium-1621>).

Paul Walter

smicd

Statistical Methods for Interval-Censored Data

summary.sem function

<dl><dt>object</dt>
<dd>an object of class <code>"sem"</code>.</dd>
<dt>...</dt>
<dd>additional arguments that are not used in this method.</dd></dl>

Arguments

Summarizing Linear and Linear Mixed Models estimated with the SEM — summary.sem

<dl>

<dt>object</dt>
<dd>an object of class <code>"sem"</code>.</dd>


<dt>...</dt>
<dd>additional arguments that are not used in this method.</dd>

</dl>

summary.sem: Summarizing Linear and Linear Mixed Models estimated with the SEM

Description

Usage

Value

Arguments