Dear Gorjanc,
It is a good idea to make an CTV for genetics. I made an informal summary
to Hum Genomics a short while ago and quoted below.
... some packages for genetic data analysis, which fall into several
categories: basic data manipulation (genetics) phylogenetic analysis
(PHYLOGR, ape), association analysis of population including population
structure (genetics, hapassoc, haplo.score, haplo.stats, hierfstat, hwde,
ldDesign, LDheatmap, Malmig, popgen, R/gap, rmetasim) and family data
(tdthap), QTL for experimental design (bim, bqtl, qtlDesign, R/qtl). Others
(BradleyTerry, epitools, evd, gllm, locfdr, rmeta, vcd) are quite general.
It missed out biodemo but actually included kinship. Further it appears
seao is not that genetics as it is quite general. Also note that the
genetics package needs packages such as combinat and gregmisc.
BW
Jing Hua
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