csplit

foldr

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

csplit function

<dl><dt>x</dt>
<dd>Data or integer (size)</dd>
<dt>p</dt>
<dd>Number of folds, or if a number between 0 and 1 is given two folds of size p and (1-p) will be returned</dd>
<dt>replace</dt>
<dd>With or with-out replacement</dd>
<dt>return.index</dt>
<dd>If TRUE index of folds are returned otherwise the actual data splits are returned (default)</dd>
<dt>k</dt>
<dd>(Optional, only used when p=NULL) number of folds without shuffling</dd>
<dt>...</dt>
<dd>additional arguments to lower-level functions</dd></dl>

Arguments

Author

Split data into folds — csplit

<dl>

<dt>x</dt>
<dd>Data or integer (size)</dd>


<dt>p</dt>
<dd>Number of folds, or if a number between 0 and 1 is given two folds of size p and (1-p) will be returned</dd>


<dt>replace</dt>
<dd>With or with-out replacement</dd>


<dt>return.index</dt>
<dd>If TRUE index of folds are returned otherwise the actual data splits are returned (default)</dd>


<dt>k</dt>
<dd>(Optional, only used when p=NULL) number of folds without shuffling</dd>


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

</dl>

Split data into folds

csplit: Split data into folds

Description

Usage

Arguments

Author

Examples