getSAS

Run SAS code like in the following:

A general implementation of Structural Equation Models
with latent variables (MLE, 2SLS, and composite likelihood
estimators) with both continuous, censored, and ordinal
outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>).
Mixture latent variable models and non-linear latent variable models
(Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>).
The package also provides methods for graph exploration (d-separation,
back-door criterion), simulation of general non-linear latent variable
models, and estimation of influence functions for a broad range of
statistical models.

Klaus Holst

lava

Latent Variable Models

Klaus K. Holst

Brice Ozenne

Thomas Gerds

getSAS function

<dl><dt>infile</dt>
<dd>file (csv file generated by ODS)</dd>
<dt>entry</dt>
<dd>Name of entry to capture</dd>
<dt>...</dt>
<dd>additional arguments to lower level functions</dd></dl>

Arguments

Author

Read SAS output — getSAS

<dl>

<dt>infile</dt>
<dd>file (csv file generated by ODS)</dd>


<dt>entry</dt>
<dd>Name of entry to capture</dd>


<dt>...</dt>
<dd>additional arguments to lower level functions</dd>

</dl>

getSAS: Read SAS output

Description

Usage

Arguments

Author

Details

See Also