chr_pos_a1_a2, cis.vs.trans.classification, Cox.est, Cox.T, ccsize, chow.test, circos.cis.vs.trans.plot, circos.cnvplot, circos.mhtplot, cnvplot, comp.score, cov.invlogit, cs,
LD22, LDkl, lambda1000, logit, log10p, logp,
METAL_forestplot, m2plem, makeRLEplot, makeped, masize, metap, metareg, mhtplot, mhtplot2, mhtplot2d, mhtplot.trunc, mht.control,
s2k, se.exp, se.invlogit, sentinels, snp.ES, snp.HWE, snp.PAR, snptest_sample, solve_skol,

getPTE, getb1star, gif, grec2g, gsmr, MCMCgrm,
LD22, LDkl, lambda1000, logit, log10p, log10pvalue, logp,
METAL_forestplot, m2plem, makeRLEplot, makeped, masize, metap, metareg, mhtplot, mhtplot2, mhtplot2d, mhtplot3d, mhtplot.trunc, mht.control,
mia, miamiplot, micombine, mr.boot, mtdt, mtdt2, muvar, mvmeta,
PARn, pbsize, pbsize2, pedtodot, pfc, pfc.sim, pgc, plem2m, plot.hap.score, print.hap.score, pvalue,

export(AE3, ab, allele.recode, allDuplicated, a2g, asplot,
g2a, g2a.c, gc.control, gc.em, gcode, gcontrol, gcontrol2, gc.lambda, gcp, genecounting, geno.recode, get_b_se, get_pve_se, get_sdy,
getPTE, getb1star, gif, grec2g, grid2d, gsmr, MCMCgrm,
h2_mzdz, h2G, h2GE, h2l, hap, hap.control, hap.em, hap.score, hmht.control, htr,
METAL_forestplot, m2plem, makeRLEplot, makeped, masize, metap, metareg, mhtplot, mhtplot2, pqtl2dplot, pqtl2dplotly, pqtl3dplotly,
read.ms.output, revhap, revhap.i, ReadGRM, ReadGRMBin, ReadGRMPLINK, ReadGRMPCA, revStrand, runshinygap,

# This package exports nothing (it uses lazydata)
# exportPattern(".")

# This package exports nothing (it uses lazydata)
# exportPattern(".")

# This package exports nothing (it uses lazydata)
# exportPattern(".")

importFrom("stats", "coef", "dnorm", "fitted", "logLik", "nlminb", "optimHess", "residuals", "rnorm", "vcov", "window")
"coef.garchx", "fitted.garchx", "logLik.garchx", "print.garchx", "residuals.garchx", "vcov.garchx"

importFrom("stats", "coef", "dnorm", "fitted", "logLik", "nlminb", "nobs", "numericDeriv", "optimHess", "pnorm", "quantile", "residuals", "rnorm", "runif", "predict", "vcov",
"garchxSim", "garchxAvar", "garchxRecursion", "garchxObjective", "garchx",
"coef.garchx", "fitted.garchx", "logLik.garchx", "nobs.garchx", "predict.garchx",
"print.garchx", "quantile.garchx", "residuals.garchx", "toLatex.garchx", "vcov.garchx",