AICc, beta.weights, dredge, get.models, model.avg, par.avg, QAIC,
importsFrom(stats, AIC, as.formula, coef, delete.response, deviance, fitted,
formula, logLik, model.frame, model.matrix, na.omit, predict, qnorm, qt,
reformulate, residuals, sd, terms, update, weighted.mean)

AICc, beta.weights, dredge, get.models, model.avg, par.avg, QAIC, QAICc,
# including these imports makes this package dependent on 'lme4'
# so, until I figure out how to deal with it, no imports is used....
#importFrom(stats, AIC, as.formula, coef, delete.response, deviance, fitted,
#	formula, logLik, model.frame, model.matrix, na.omit, predict, qnorm, qt,
#	reformulate, residuals, sd, terms, update, weighted.mean)

if (getRversion() >= "2.13.0") importFrom(stats, nobs)

AICc, QAIC, QAICc, Cp, ICOMP, CAICF, DIC,
# I couldn't find a way to make version-dependent documentation, so can't
# including the lines below makes this package dependent on 'lme4'
# this is done by setting S4 method with an .onLoad hook:

"AICc", "QAIC", "QAICc", "Cp", "ICOMP", "CAICF", "DIC",
importFrom("graphics", "axis", "box", "mtext", "par", "plot.new", "plot.window",
importFrom("methods", ".hasSlot", "isGeneric", "slot", "slotNames")
importFrom("stats", ".checkMFClasses", ".getXlevels", ".MFclass", "AIC",
"family", "fitted", "formula", "getCall", "glm.fit",  "make.link",
"model.frame", "model.matrix", "model.response", "na.fail", "nobs", "pnorm",
"power", "predict", "printCoefmat", "qnorm", "qt", "reformulate", "resid",
"sd", "summary.glm", "terms", "terms.formula", "update", "update.default",
"gaussian", "binomial", "Gamma", "inverse.gaussian", "quasi",
importFrom("Matrix", "t", "rowSums", "det", "diag", "solve")

getAllTerms, coeffs, tTable, Weights, mod.sel

importFrom("methods", ".hasSlot", "isGeneric", "slot", "slotNames", "is")
"rbinom", "rgamma", "rpois", # for .simulateData
importFrom("stats", "cor", "cov", "rnorm", "runif", "optim")

"model.frame", "model.matrix", "model.response", "na.fail", "nobs",
"power", "predict", "printCoefmat", "reformulate", "resid",
"sd", "var", "summary.glm", "terms", "terms.formula",
"dnorm", "pnorm", "qnorm", "dt", "pt", "qt",
"rbinom", "rgamma", "rpois" # for .simulateData