https://github.com/cran/MuMIn
Tip revision: 152c7a0657fdb748ec1c2b8f3ff327ce0797d49c authored by Kamil BartoĊ on 23 July 2018, 06:40:03 UTC
version 1.42.1
version 1.42.1
Tip revision: 152c7a0
NAMESPACE
# Exports:
export(
"dredge", "pdredge", "get.models", "pget.models",
"model.avg", "par.avg",
"model.sel",
"getAllTerms", "coeffs", "coefTable",
"importance", "Weights", "Weights<-",
"AICc", "QAIC", "QAICc", "Cp", "ICOMP", "CAICF", "DIC",
"r.squaredLR", "null.fit", "r.squaredGLMM",
"QIC", "QICu", "quasiLik",
"model.names",
"simplify.formula", "expand.formula",
"updateable",
"uGamm", "nested", "stdize", "stdizeFit",
"exprApply",
"get.response",
"get_call",
"std.coef", "beta.weights",
"partial.sd",
"arm.glm", "armWeights",
"BGWeights", "cos2Weights", "jackknifeWeights", "stackingWeights",
"bootWeights",
"loo",
# defunct and deprecated:
"mod.sel", "tTable", "updateable2"
)
# Imports:
importFrom("graphics", "axis", "box", "mtext", "par", "plot.new", "plot.window",
"rect", "strheight", "strwidth", "title")
#importFrom(grDevices, colorRamp, rgb)
importFrom("methods", ".hasSlot", "isGeneric", "slot", "slotNames", "is")
importFrom("stats", ".checkMFClasses", ".getXlevels", ".MFclass", "AIC",
"as.formula",
"BIC",
"delete.response", "deviance", "df.residual",
"family", "fitted", "formula", "getCall", "glm.fit", "make.link",
"median",
"model.frame", "model.matrix", "model.response", "na.fail", "nobs",
"power", "predict", "printCoefmat", "reformulate", "resid",
"sigma",
"sd", "var", "summary.glm", "terms", "terms.formula",
"update", "update.default", "update.formula",
"weighted.mean", "weights",
"gaussian", "binomial", "Gamma", "inverse.gaussian", "quasi",
"quasibinomial", "quasipoisson",
"dnorm", "pnorm", "qnorm", "dt", "pt", "qt",
"rbinom", "rgamma", "rpois" # for .simulateData
)
importFrom("stats4", "logLik", "coef", "vcov")
#importFrom("utils", "capture.output", "setTxtProgressBar", "txtProgressBar")
importFrom("Matrix", "t", "rowSums", "det", "diag", "solve")
importFrom("grDevices", "n2mfrow")
importFrom("graphics", "abline", "lines", "matplot")
# model-averaging related functions:
importFrom("stats", "cor", "cov", "rnorm", "runif", "optim")
importFrom("nlme", fixef, VarCorr)
# Methods:
S3method(getCall, yagsResult)
S3method(print, averaging)
S3method(print, summary.averaging)
S3method(summary, averaging)
S3method(predict, averaging)
S3method(coef, averaging)
S3method(fitted, averaging)
S3method(logLik, averaging)
S3method(confint, averaging)
S3method(vcov, averaging)
S3method(model.matrix, averaging)
S3method(print, model.selection)
S3method(subset, model.selection)
S3method(nobs, model.selection)
S3method("[", model.selection)
S3method("[[", model.selection)
S3method("[<-", model.selection)
S3method("[[<-", model.selection)
S3method("$<-", model.selection)
S3method("names<-", model.selection)
S3method("row.names<-", model.selection)
S3method(merge, model.selection)
S3method(rbind, model.selection)
S3method(update, model.selection)
S3method(coef, model.selection)
S3method(logLik, model.selection)
S3method(model.sel, model.selection)
S3method(model.sel, default)
S3method(model.avg, model.selection)
S3method(model.avg, default)
S3method(plot, model.selection)
S3method(importance, averaging)
S3method(importance, model.selection)
S3method(importance, default)
S3method(print, importance)
S3method(Weights, model.selection)
S3method(Weights, averaging)
S3method(Weights, data.frame)
S3method(Weights, numeric)
S3method(Weights, default)
S3method("Weights<-", averaging)
S3method("Weights<-", default)
S3method(getAllTerms, default)
S3method(coeffs, default)
S3method(coefTable, default)
S3method(coefTable, averaging)
S3method(coef, model.selection)
S3method(coeffs, model.selection)
S3method(coefTable, model.selection)
S3method(print, coefTable)
S3method(plot, coefTable)
S3method(summary, coefTable)
S3method(print, summary.coefTable)
S3method(getAllTerms, formula)
S3method(getAllTerms, terms)
S3method(getAllTerms, lm)
S3method(coefTable, lm)
S3method(getAllTerms, gam)
S3method(nobs, sarlm)
S3method(coefTable, sarlm)
S3method(coefTable, spautolm)
S3method(nobs, spautolm)
S3method(logLik, glmmML)
S3method(coefTable, glmmML)
S3method(nobs, glmmML)
S3method(summary, glmmML)
S3method(getAllTerms, coxph)
S3method(coefTable, coxph)
S3method(nobs, coxph)
S3method(coeffs, survreg)
S3method(coefTable, survreg)
S3method(nobs, survreg)
S3method(getAllTerms, lme)
S3method(coeffs, lme)
S3method(coefTable, lme)
#S3method(predict, lme)
#S3method(predict, gls)
S3method(model.frame, lme)
S3method(model.matrix, lme)
S3method(coeffs, merMod)
S3method(predict, merMod)
S3method(coefTable, multinom)
S3method(coeffs, multinom)
S3method(nobs, multinom)
S3method(coeffs, gls)
S3method(coefTable, gls)
S3method(formula, unmarkedFit)
S3method(getAllTerms, unmarkedFit)
S3method(coeffs, unmarkedFit)
S3method(coefTable, unmarkedFit)
S3method(nobs, unmarkedFit)
# S3method(getAllTerms, unmarkedFitDS)
# this is done by setting S4 method with an .onLoad hook:
# S3method(logLik, unmarkedFit)
S3method(update, gamm)
S3method(print, gamm)
S3method(logLik, gamm)
S3method(formula, gamm)
S3method(nobs, gamm)
S3method(coeffs, gamm)
S3method(getAllTerms, gamm)
S3method(coefTable, gamm)
S3method(predict, gamm)
S3method(makeArgs, default)
S3method(makeArgs, gls)
S3method(makeArgs, lme)
S3method(makeArgs, unmarkedFit)
S3method(makeArgs, unmarkedFitDS)
S3method(makeArgs, coxph)
S3method(makeArgs, clmm)
S3method(makeArgs, merMod)
S3method(makeArgs, mer) # for 'cpglmm'
S3method(makeArgs, glmmadmb)
S3method(family, default)
S3method(family, gls)
S3method(family, lme)
S3method(nobs, rq)
S3method(coefTable, rq)
S3method(coefTable, coxme)
S3method(makeArgs, coxme)
S3method(formula, coxme)
S3method(getAllTerms, coxme)
S3method(nobs, coxme)
S3method(logLik, coxme)
S3method(coeffs, coxme)
S3method(coeffs, lmekin)
S3method(makeArgs, lmekin)
S3method(coefTable, lmekin)
S3method(formula, lmekin)
S3method(nobs, lmekin)
S3method(logLik, lmekin)
S3method(coefTable, zeroinfl)
S3method(coefTable, hurdle)
S3method(getAllTerms, hurdle)
S3method(getAllTerms, zeroinfl)
S3method(nobs, hurdle)
S3method(nobs, zeroinfl)
S3method(makeArgs, zeroinfl)
S3method(family, zeroinfl)
S3method(nobs, glimML)
S3method(formula, glimML)
S3method(coefTable, glimML)
S3method(family, glimML)
S3method(getAllTerms, glimML)
S3method(terms, glimML)
S3method(model.frame, glimML)
S3method(formula, MCMCglmm)
S3method(nobs, MCMCglmm)
S3method(family, MCMCglmm)
S3method(logLik, MCMCglmm)
S3method(coeffs, MCMCglmm)
S3method(coefTable, MCMCglmm)
S3method(makeArgs, MCMCglmm)
S3method(getAllTerms, MCMCglmm)
S3method(extractDIC, merMod)
S3method(extractDIC, MCMCglmm)
S3method(extractDIC, lme)
S3method(coef, geese)
S3method(coefTable, gee)
S3method(coefTable, geeglm)
S3method(coefTable, geese)
S3method(coefTable, geem)
S3method(coefTable, yagsResult)
S3method(getQIC, default)
S3method(getQIC, gee)
S3method(getQIC, geeglm)
S3method(getQIC, yagsResult)
S3method(getQIC, geem)
S3method(print, quasiLik)
S3method(quasiLik, gee)
S3method(quasiLik, geem)
S3method(quasiLik, geeglm)
S3method(quasiLik, yagsResult)
S3method(nobs, yagsResult)
S3method(nobs, geem)
S3method(model.matrix, geem)
S3method(coeffs, mark)
S3method(coefTable, mark)
S3method(confint, mark)
S3method(deviance, mark)
S3method(formula, mark)
S3method(getAllTerms, mark)
S3method(logLik, mark)
S3method(makeArgs, mark)
S3method(nobs, mark)
S3method(coefTable, splm)
S3method(coeffs, splm)
S3method(nobs, splm)
S3method(logLik, splm)
S3method(coefTable, logistf)
S3method(nobs, logistf)
S3method(logLik, logistf)
S3method(coefTable, aodml)
#S3method(coeffs, aodml)
S3method(coefTable, aodml)
S3method(makeArgs, aodml)
S3method(nobs, aodql)
S3method(coefTable, aodql)
S3method(model.frame, aodml)
S3method(model.matrix, aodml)
S3method(getAllTerms, betareg)
S3method(makeArgs, betareg)
S3method(coefTable, betareg)
S3method(family, betareg)
S3method(getCall, model.selection)
S3method(nobs, caic)
S3method(formula, caic)
S3method(nobs, pgls)
S3method(nobs, asreml)
S3method(coefTable, asreml)
S3method(family, asreml)
S3method(formula, asreml)
S3method(getAllTerms, asreml)
S3method(logLik, asreml)
S3method(makeArgs, asreml)
S3method(coeffs, asreml)
S3method(nobs, phylolm)
S3method(logLik, phylolm)
S3method(coefTable, cplm)
S3method(coefTable, cpglmm)
S3method(nobs, cplm)
S3method(nobs, cpglmm)
S3method(logLik, cplm)
S3method(coeffs, cpglmm)
S3method(getAllTerms, cpglmm)
S3method(logLik, maxlikeFit)
S3method(nobs, maxlikeFit)
S3method(formula, maxlikeFit)
S3method(coefTable, maxlikeFit)
S3method(stdize, default)
S3method(stdize, numeric)
S3method(stdize, logical)
S3method(stdize, factor)
S3method(stdize, data.frame)
S3method(stdize, formula)
S3method(stdize, matrix)
S3method(get.response, default)
S3method(get.response, lm)
S3method(get.response, averaging)
S3method(get.response, formula)
S3method(coefTable, bic.glm)
S3method(coefTable, glmmTMB)
S3method(coeffs, glmmTMB)
S3method(getAllTerms, glmmTMB)
S3method(makeArgs, glmmTMB)
S3method(loo, default)
S3method(loo, lm)
S3method(print, model.weights)
S3method("[", model.weights)
S3method(r.squaredGLMM, cplm)
S3method(r.squaredGLMM, glmmadmb)
S3method(r.squaredGLMM, glmmML)
S3method(r.squaredGLMM, glmmTMB)
S3method(r.squaredGLMM, lm)
S3method(r.squaredGLMM, lme)
S3method(r.squaredGLMM, merMod)
S3method(.numfixef, default)
S3method(.numfixef, glmmTMB)
S3method(.OLREFit, default)
S3method(.OLREFit, merMod)
S3method(.remodmat, default)
S3method(.remodmat, lme)
S3method(.nullFitRE, default)
S3method(.nullFitRE, lme)
S3method(.varcorr, default)
S3method(.varcorr, glmmadmb)
S3method(.varcorr, glmmTMB)
S3method(.varcorr, lme)
S3method(sigma2, default)
S3method(sigma2, glmmPQL)
S3method(sigma2, glmmTMB)
S3method(family, cplm)
S3method(family, glmmadmb)
S3method(sigma, glmmadmb)