esti_polyserial

Estimate the polyserial correlation coefficient.

The IRLS (Iteratively Reweighted Least Squares) and GMM (Generalized Method of Moments) methods are applied to estimate mixed correlation coefficient matrix (Pearson, Polyseries, Polychoric), which can be estimated in pairs or simultaneously. For more information see Peng Zhang and Ben Liu (2024) <doi:10.1080/10618600.2023.2257251>; Ben Liu and Peng Zhang (2024) <doi:10.48550/arXiv.2404.06781>.

Ben Liu

MCCM

Mixed Correlation Coefficient Matrix

Peng Zhang

Xiaowei Lou

esti_polyserial function

<dl><dt>X</dt>
<dd>a matrix(2*N) or dataframe contains two polyserial variable(Continuous variable first).</dd>
<dt>maxn</dt>
<dd>the maximum iterations times.</dd>
<dt>e</dt>
<dd>the maximum tolerance of convergence.</dd></dl>

Arguments

Polyserial Correlation — esti_polyserial

<dl>

<dt>X</dt>
<dd>a matrix(2*N) or dataframe contains two polyserial variable(Continuous variable first).</dd>


<dt>maxn</dt>
<dd>the maximum iterations times.</dd>


<dt>e</dt>
<dd>the maximum tolerance of convergence.</dd>

</dl>

esti_polyserial: Polyserial Correlation

Description

Usage

Value

Arguments

References

See Also

Examples