bda (version 10.1.9)

fit.nmix.copula: Fit a Bivariate Copula Based on Normal Mixture Model for NGS data

Description

Fit bivariate copula for normal mixture models

Usage

fit.nmix.copula(x,y,mle.large=FALSE)

Arguments

x,y

Two Next-Generation Sequencing data with same structures

mle.large

Default ,mle.large=FALSE, don't use the big two-way histogram to find MLE.

Details

the two profiles need to be sent as parameters. We don't need to fit the normal mixture outside the function. But we need to fit normal mixture model for NGS data withinin the function to get the histograms, and the counts within two 2x2 tables. The output include 1) the two fitted model, and 2) estimated parameter Psi. In addition, we show 3) the Psi's used to search for the optimal Psi, and 4) Chi-square test statistics, and 5) the correponding p-values. In addition, we also find 6) the MLE of Psi, and 7) its Chi-square test statistic and 8) p-value.

References

to be updated

Examples

# NOT RUN {
 # To be updated.
# }