HW.pval calculates plain and fully conditional root-mean-square, chi-square, and log likelihood-ratio P-values for the user-provided genotypic counts to be consistent with the Hardy-Weinberg equilibrium model. For further information on the Hardy-Weinberg equilibrium model and the pseudocode, refer to the paper "Testing Hardy-Weinberg equilibrium with a simple root-mean-square statistic" by Rachel Ward.
|Author||Shubhodeep Mukherji <email@example.com>|
|Date of publication||2012-07-11 12:43:08|
|Maintainer||Shubhodeep Mukherji <firstname.lastname@example.org>|
create.model: Creating the Hardy-Weinberg model distribution from a given...
HW.cond: Computing the fully conditional P-value for a given...
HW.plain: Computing the plain P-Value for a given lower-triangular...
HW.pval: Testing Hardy-Weinberg Equilibrium for Multiallelic Genes
HW.pval-package: Testing Hardy-Weinberg Equilibrium for Multiallelic Genes
test.chisq: Computing the chi-square test statistic
test.gsq: Computing the log likelihood-ratio test statistic
test.rms: Computing the root-mean-square test statistic