Adaptive Density Estimation by Bayesian Averaging
Univariate and multivariate non-parametric kernel density
estimation with adaptive bandwidth using a Bayesian approach to Abramson's
square root law.
graphics, pdist, Rcpp (>= 0.11.6), stats

graphics, mixtools, pdist, Rcpp (>= 0.11.6), stats

Genetic data handling for multivariate analysis using ade4
Classes and functions for genetic data analysis within the multivariate framework.

ade4, genetics, hierfstat, spdep, tripack

The adegenet package for R: classes and methods for the multivariate analysis of genetic markers.
Thibaut Jombart <jombart@biomserv.univ-lyon1.fr>, with contributions from Peter Solymos
classes.R auxil.R makefreq.R chooseCN.R dist.genpop.R export.R gstat.randtest.R HWE.R import.R monmonier.R coords.monmonier.R spca.R spca.rtests.R zzz.R hybridize.R

adegenet: a R package for the multivariate analysis of genetic markers.
classes.R auxil.R makefreq.R chooseCN.R dist.genpop.R export.R gstat.randtest.R HWE.R import.R monmonier.R coords.monmonier.R spca.R spca.rtests.R zzz.R hybridize.R fstat.R

classes.R auxil.R makefreq.R chooseCN.R dist.genpop.R export.R gstat.randtest.R HWE.R import.R monmonier.R coords.monmonier.R spca.R spca.rtests.R zzz.R hybridize.R fstat.R propShared.R

classes.R auxil.R genind2genpop.R propTyped.R basicMethods.R old2new.R makefreq.R chooseCN.R dist.genpop.R export.R setAs.R gstat.randtest.R HWE.R import.R monmonier.R coords.monmonier.R spca.R spca.rtests.R zzz.R hybridize.R fstat.R propShared.R scale.R

classes.R auxil.R genind2genpop.R propTyped.R basicMethods.R old2new.R makefreq.R chooseCN.R dist.genpop.R export.R setAs.R gstat.randtest.R HWE.R import.R monmonier.R coords.monmonier.R spca.R spca.rtests.R zzz.R hybridize.R fstat.R propShared.R scale.R colorplot.R loadingplot.R

adegenet: a R package for the multivariate analysis of genetic
markers.
Thibaut Jombart <t.jombart@imperial.ac.uk>, with contributions
from Peter Solymos
ade4, genetics, hierfstat, spdep, tripack, ape
Classes and functions for genetic data analysis within the
multivariate framework.
classes.R auxil.R handling.R genind2genpop.R propTyped.R
basicMethods.R old2new.R makefreq.R chooseCN.R dist.genpop.R
export.R setAs.R gstat.randtest.R HWE.R import.R monmonier.R
coords.monmonier.R spca.R spca.rtests.R zzz.R hybridize.R
fstat.R propShared.R scale.R colorplot.R loadingplot.R
sequences.R