ll{
Package: gap
Version: 1.1-13
Depends: R(>= 2.1.0)
Suggests: BradleyTerry2, MASS, Matrix, MCMCglmm, NCBI2R, bdsmatrix, coxme, foreign, grid,
haplo.stats, kinship2, magic, mets, nlme, pedigree, pedigreemm, regress, rms, survival
License: GPL (>=2)
URL: http://www.mrc-epid.cam.ac.uk/people/jing-hua-zhao
}Index:
ll{
* ANALYSIS *
AE3 AE model using nuclear family trios
bt Bradley-Terry model for contingency table
ccsize Power and sample size for case-cohort design
fbsize Sample size for family-based linkage and association design
gc.em Gene counting for haplotype analysis
gcontrol genomic control
gcontrol2 genomic control based on p values
gcp Permutation tests using GENECOUNTING
genecounting Gene counting for haplotype analysis
gif Kinship coefficient and genetic index of familiality
hap Haplotype reconstruction
hap.em Gene counting for haplotype analysis
hap.score Score statistics for association of traits with haplotypes
htr Haplotype trend regression
hwe Hardy-Weinberg equilibrium test for a multiallelic marker
hwe.cc A likelihood ratio test of population Hardy-Weinberg equilibrium
hwe.hardy Hardy-Weinberg equilibrium test using MCMC
kin.morgan kinship matrix for simple pedigree
LD22 LD statistics for two diallelic markers
LDkl LD statistics for two multiallelic markers
masize Sample size calculation for mediation analysis
MCMCgrm Mixed modeling with genetic relationship matrices
mia multiple imputation analysis for hap
mtdt Transmission/disequilibrium test of a multiallelic marker
mtdt2 Transmission/disequilibrium test of a multiallelic marker
by Bradley-Terry model
mvmeta Multivariate meta-analysis based on generalized least squares
pbsize Power for population-based association design
pbsize2 Power for case-control association design
pfc Probability of familial clustering of disease
pfc.sim Probability of familial clustering of disease
pgc Preparing weight for GENECOUNTING
print.hap.score Print a hap.score object
s2k Statistics for 2 by K table
tscc Power calculation for two-stage case-control design
* GRAPHICS *
asplot Regional association plot
ESplot Effect-size plot
mhtplot Manhattan plot
mhtplot2 Manhattan plot with annotations
pedtodot Converting pedigree(s) to dot file(s)
plot.hap.score Plot haplotype frequencies versus haplotype score statistics
qqfun Quantile-comparison plots
qqunif Q-Q plot for uniformly distributed random variable
* DATASETS *
PD A study of Parkinson's disease and APOE, LRRK2, SNCA makers
aldh2 ALDH2 markers and alcoholism
apoeapoc APOE/APOC1 markers and schizophrenia
cf Cystic Fibrosis data
crohn Crohn's disease data
fa Friedreich ataxia data
fsnps A case-control data involving four SNPs with missing genotype
hla HLA markers and schizophrenia
l51 An example pedigree data
lukas An example pedigree
mao A study of Parkinson's disease and MAO gene
meyer A pedigree data on 282 animals deriving from two generations
nep499 A study of Alzheimer's disease with eight SNPs and APOE
* UTITLITIES *
SNP Functions for single nucleotide polymorphisms (SNPs)
BFDP Bayesian false-discovery probability
FPRP False-positive report probability
ab Test/Power calculation for mediating effect
b2r Obtain correlation coefficients and their variance-covariances
chow.test Chow's test for heterogeneity in two regressions
comp.score score statistics for testing genetic linkage of quantitative trait
h2 Heritability estimation according to twin correlations
for case-control studies
klem Haplotype frequency estimation based on a genotype table
of two multiallelic markers
makeped A function to prepare pedigrees in post-MAKEPED format
metap Meta-analysis of p values
metareg Fixed and random effects model for meta-analysis
muvar Means and variances under 1- and 2- locus (diallelic) QTL model
read.ms.output A utility function to read ms output
twinan90 Classic twin models
whscore Whittemore-Halpern scores for allele-sharing
GRM functions ReadGRM, ReadGRMBin, ReadGRMPLINK, ReadGRMPCA, WriteGRM, WriteGRMBin, WriteGRMSAS
handle genomic relationship matrix involving other software
heritability functions h2G, VR, h2GC, h2l give point estimates as with their variances
for continuous traits and binary traits under liability threshold model and
case-control sampling
}
We have incorporated functions for a wide range of problems. Nevertheless,
this largely remains as a preliminary work to be consolidated in the
near future.