#### Define those generics that we need, if they don't exist; #### not all will be exported if (!isGeneric("expand")) setGeneric("expand", function(x, ...) standardGeneric("expand")) ## if (!isGeneric("tcrossprod")) ## setGeneric("tcrossprod", function(x, y = NULL) standardGeneric("tcrossprod")) if (!exists("tcrossprod"))# R <= 2.2.x : tcrossprod <- function(x, y = NULL) x %*% t(if(is.null(y)) x else y) ## will become generic by setMethod(..) if (!isGeneric("isDiagonal")) setGeneric("isDiagonal", function(object, ...) standardGeneric("isDiagonal")) if (!isGeneric("isSymmetric")) ## no "..." here at the moment; must match isSymmetric() ## R 2.3.x base/R/eigen.R setGeneric("isSymmetric", function(object, ...)# no 'tol' in generic standardGeneric("isSymmetric")) if (!isGeneric("isTriangular")) setGeneric("isTriangular", function(object, ...) standardGeneric("isTriangular")) if (!isGeneric("isNested")) setGeneric("isNested", function(object, ...) standardGeneric("isNested")) if (!isGeneric("facmul")) setGeneric("facmul", function(x, factor, y, transpose, left, ...) standardGeneric("facmul")) if (!isGeneric("lu")) setGeneric("lu", function(x, ...) standardGeneric("lu")) if (!isGeneric("norm")) setGeneric("norm", function(x, type, ...) standardGeneric("norm")) if (!isGeneric("rcond")) setGeneric("rcond", function(x, type, ...) standardGeneric("rcond")) if (!isGeneric("Schur")) setGeneric("Schur", function(x, vectors, ...) standardGeneric("Schur")) if (!isGeneric("unpack")) setGeneric("unpack", function(x, ...) standardGeneric("unpack")) ##- if (!isGeneric("%p%")) ##- setGeneric("%p%", function(a, b) standardGeneric("%p%")) if (!isGeneric("expm")) setGeneric("expm", function(x) standardGeneric("expm")) if (!isGeneric("writeHB")) setGeneric("writeHB", function(obj, file, ...) standardGeneric("writeHB")) if (!isGeneric("writeMM")) setGeneric("writeMM", function(obj, file, ...) standardGeneric("writeMM")) ## ----------------------- lmer-related Generics --------------------------- ## Hmm: If this does not match *exactly* the "formula" - method in ./lmer.R ## --- the match.call() in there may give a very different result setGeneric("lmer", function(formula, data, family, method = c("REML", "ML", "PQL", "Laplace", "AGQ"), control = list(), start, subset, weights, na.action, offset, model = TRUE, x = FALSE, y = FALSE, ...) standardGeneric("lmer")) if (!isGeneric("LMEoptimize<-")) { setGeneric("LMEoptimize<-", function(x, ..., value) standardGeneric("LMEoptimize<-")) } if (!isGeneric("fixef")) { setGeneric("fixef", function(object, ...) standardGeneric("fixef")) } fixed.effects <- function(object, ...) { ## fixed.effects was an alternative name for fixef .Deprecated("fixef") mCall = match.call() mCall[[1]] = as.name("fixef") eval(mCall, parent.frame()) } if (!isGeneric("ranef")) { setGeneric("ranef", function(object, ...) standardGeneric("ranef")) } random.effects <- function(object, ...) { ## random.effects was an alternative name for ranef .Deprecated("ranef") mCall = match.call() mCall[[1]] = as.name("ranef") eval(mCall, parent.frame()) } if (!isGeneric("BIC")) { setGeneric("BIC", function(object, ...) standardGeneric("BIC")) } setMethod("BIC", "logLik", function(object, ...) -2 * (c(object) - attr(object, "df") * log(attr(object, "nobs"))/2) ) if (!isGeneric("VarCorr")) { setGeneric("VarCorr", function(x, ...) standardGeneric("VarCorr")) } if (!isGeneric("gradient")) { # not exported setGeneric("gradient", function(x, ...) standardGeneric("gradient")) } if (!isGeneric("getFixDF")) { # not exported setGeneric("getFixDF", function(object, ...) standardGeneric("getFixDF")) } if (!isGeneric("mcmcsamp")) { setGeneric("mcmcsamp", function(object, n = 1, verbose = FALSE, ...) standardGeneric("mcmcsamp")) } if (!exists("simulate", mode = "function")) { setGeneric("simulate", function(object, nsim = 1, seed = NULL, ...) standardGeneric("simulate")) } ###---- Group Generics ---- ## The following are **WORKAROUND** s currently needed for all non-Primitives: ## "Math" setGeneric("log", group="Math") setGeneric("gamma", group="Math") setGeneric("lgamma", group="Math") ## "Math2" setGeneric("round", group="Math2") setGeneric("signif", group="Math2") ## "Summary" --- this needs some hoop jumping that may become unnecessary ## in a future version of R (>= 2.3.x): .max_def <- function(x, ..., na.rm = FALSE) base::max(x, ..., na.rm = na.rm) .min_def <- function(x, ..., na.rm = FALSE) base::min(x, ..., na.rm = na.rm) .range_def <- function(x, ..., na.rm = FALSE) base::range(x, ..., na.rm = na.rm) .prod_def <- function(x, ..., na.rm = FALSE) base::prod(x, ..., na.rm = na.rm) .sum_def <- function(x, ..., na.rm = FALSE) base::sum(x, ..., na.rm = na.rm) .any_def <- function(x, ..., na.rm = FALSE) base::any(x, ..., na.rm = na.rm) .all_def <- function(x, ..., na.rm = FALSE) base::all(x, ..., na.rm = na.rm) setGeneric("max", function(x, ..., na.rm = FALSE) standardGeneric("max"), useAsDefault = .max_def, group = "Summary") setGeneric("min", function(x, ..., na.rm = FALSE) standardGeneric("min"), useAsDefault = .min_def, group="Summary") setGeneric("range", function(x, ..., na.rm = FALSE) standardGeneric("range"), useAsDefault = .range_def, group="Summary") setGeneric("prod", function(x, ..., na.rm = FALSE) standardGeneric("prod"), useAsDefault = .prod_def, group="Summary") setGeneric("sum", function(x, ..., na.rm = FALSE) standardGeneric("sum"), useAsDefault = .sum_def, group="Summary") setGeneric("any", function(x, ..., na.rm = FALSE) standardGeneric("any"), useAsDefault = .any_def, group="Summary") setGeneric("all", function(x, ..., na.rm = FALSE) standardGeneric("all"), useAsDefault = .all_def, group="Summary")