BayHap: Bayesian analysis of haplotype association using Markov Chain Monte Carlo

The package BayHap performs simultaneous estimation of uncertain haplotype frequencies and association with haplotypes based on generalized linear models for quantitative, binary and survival traits. Bayesian statistics and Markov Chain Monte Carlo techniques are the theoretical framework for the methods of estimation included in this package. Prior values for model parameters can be included by the user. Convergence diagnostics and statistical and graphical analysis of the sampling output can be also carried out.

AuthorRaquel Iniesta and Victor Moreno
Date of publication2013-03-13 21:25:31
MaintainerRaquel Iniesta <riniesta@pssjd.org>
LicenseGPL (>= 2)
Version1.0.1

View on CRAN

Functions

allele Man page
allele.names Man page
autocorr Man page
BayHap Man page
bayhapFreq Man page
BayHap-package Man page
bayhapReg Man page
BIC Man page
boa.plot.acf.ad Man page
chain.import Man page
combinations Man page
conv.test Man page
correl Man page
expectedGenotypes Man page
genotype Man page
haplo.list Man page
haplo.list.all Man page
haplo.pairs Man page
haplo.prior Man page
import Man page
is.genotype Man page
is.locus Man page
is.snp Man page
make.dummies Man page
permutations Man page
plotACF Man page
plotDensity Man page
plotFreq Man page
plotReg Man page
plotRmean Man page
plotTrace Man page
print.freq Man page
print.reg Man page
setupData Man page
survival Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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