MCCM (version 0.1.0)

esti_polychoric: Polychoric Correlation

Description

Estimate the polychoric correlation coefficient.

Usage

esti_polychoric(X, maxn = 100, e = 1e-08, ct = FALSE)

Value

rho

estimated value of polychoric correlation coefficient.

std

standard deviation of rho.

iter

times of iteration convergence.

Ex,Ey

the support points series of regression model

Arguments

X

a matrix(2*N) or dataframe contains two polychoric variable, or a contingency table with both columns and rows names.

maxn

the maximum iterations times.

e

the maximum tolerance of convergence.

ct

TRUE for contingency table, FALSE for matrix or dataframe

References

Zhang, P., Liu, B., & Pan, J. (2024). Iteratively Reweighted Least Squares Method for Estimating Polyserial and Polychoric Correlation Coefficients. Journal of Computational and Graphical Statistics, 33(1), 316–328. https://doi.org/10.1080/10618600.2023.2257251

See Also

esti_polyserial

Examples

X = gen_polychoric(1000,0.5,0:1,-1:0)
result = esti_polychoric(X)
print(c(result$rho,result$std,result$iter))