Nothing
#############################################################
# #
# mle.cp function #
# Author: Claudio Agostinelli #
# E-mail: claudio@unive.it #
# Date: August, 2, 2001 #
# Version: 0.4 #
# #
# Copyright (C) 2001 Claudio Agostinelli #
# #
#############################################################
mle.cp <- function(formula, data=list(), model=TRUE, x=FALSE, y=FALSE, var.full=0, contrasts=NULL, verbose=FALSE) {
ret.x <- x
ret.y <- y
result <- list()
mt <- terms(formula, data = data)
mf <- cl <- match.call()
mf$var.full <- mf$contrasts <- NULL
mf$model <- mf$x <- mf$y <- NULL
mf$verbose <- NULL
mf$drop.unused.levels <- TRUE
mf[[1]] <- as.name("model.frame")
mf <- eval(mf, sys.frame(sys.parent()))
xvars <- as.character(attr(mt, "variables"))[-1]
inter <- attr(mt, "intercept")
if((yvar <- attr(mt, "response")) > 0) xvars <- xvars[-yvar]
xlev <-
if(length(xvars) > 0) {
xlev <- lapply(mf[xvars], levels)
xlev[!sapply(xlev, is.null)]
}
ydata <- model.response(mf, "numeric")
if (is.empty.model(mt))
stop("The model is empty")
else
xdata <- model.matrix(mt, mf, contrasts)
if (is.null(size <- nrow(xdata)) | is.null(nvar <- ncol(xdata))) stop("'x' must be a matrix")
if (length(ydata)!=size) stop("'y' and 'x' are not compatible")
nrep <- 2^nvar-1
if (size<nvar+1) {
stop("Number of observation must be at least equal to the number of predictors (including intercept) + 1")
}
if (var.full<0) {
if (verbose) cat("mle.cp: the variance of the full model can not be negative, using default value \n")
var.full <- 0
}
z <- .Fortran("mlecp",
as.double(ydata),
as.matrix(xdata),
as.integer(0),
as.integer(size),
as.integer(nvar),
as.integer(nrep),
as.double(var.full),
cp=mat.or.vec(nrep,nvar+1),
param=mat.or.vec(nrep,nvar),
var=double(nrep),
resid=mat.or.vec(nrep,size),
info=integer(1),
PACKAGE="wle")
result$cp <- z$cp
result$coefficients <- z$param
result$scale <- sqrt(z$var)
result$residuals <- z$resid
result$call <- cl
result$info <- z$info
result$contrasts <- attr(xdata, "contrasts")
result$xlevels <- xlev
result$terms <- mt
if (model)
result$model <- mf
if (ret.x)
result$x <- xdata
if (ret.y)
result$y <- ydata
dn <- colnames(xdata)
dimnames(result$coefficients) <- list(NULL,dn)
dimnames(result$cp) <- list(NULL,c(dn,"cp"))
class(result) <- "mle.cp"
return(result)
}
#############################################################
# #
# summary.mle.cp function #
# Author: Claudio Agostinelli #
# E-mail: claudio@unive.it #
# Date: October, 28, 2003 #
# Version: 0.4-1 #
# #
# Copyright (C) 2003 Claudio Agostinelli #
# #
#############################################################
summary.mle.cp <- function (object, num.max=20, verbose=FALSE, ...) {
if (is.null(object$terms)) {
stop("invalid \'mle.cp\' object")
}
ans <- list()
cp <- object$cp
if (num.max<1) {
if (verbose) cat("summary.mle.cp: num.max can not less than 1, num.max=1 \n")
num.max <- 1
}
if(is.null(nmodel <- nrow(cp))) nmodel <- 1
num.max <- min(nmodel,num.max)
if (nmodel!=1) {
nvar <- ncol(cp)-1
nparam <- apply(cp[,(1:nvar)],1,sum)
cp <- cp[cp[,(nvar+1)]<=(nparam+0.00001),]
if (!is.null(nrow(cp)) && nrow(cp)>1) {
num.max <- min(nrow(cp),num.max)
cp <- cp[order(cp[,(nvar+1)]),]
cp <- cp[1:num.max,]
} else num.max <- 1
}
ans$cp <- cp
ans$num.max <- num.max
ans$call <- object$call
class(ans) <- "summary.mle.cp"
return(ans)
}
#############################################################
# #
# print.mle.cp function #
# Author: Claudio Agostinelli #
# E-mail: claudio@unive.it #
# Date: October, 27, 2003 #
# Version: 0.4-1 #
# #
# Copyright (C) 2003 Claudio Agostinelli #
# #
#############################################################
print.mle.cp <- function (x, digits = max(3, getOption("digits") - 3), num.max=max(1, nrow(x$cp)), ...) {
res <- summary.mle.cp(object=x, num.max=num.max, ...)
print.summary.mle.cp(res, digits=digits, ...)
}
#############################################################
# #
# print.summary.mle.cp function #
# Author: Claudio Agostinelli #
# E-mail: claudio@unive.it #
# Date: August, 2, 2001 #
# Version: 0.4 #
# #
# Copyright (C) 2001 Claudio Agostinelli #
# #
#############################################################
print.summary.mle.cp <- function (x, digits = max(3, getOption("digits") - 3), ...) {
cat("\nCall:\n")
cat(paste(deparse(x$call), sep="\n", collapse = "\n"), "\n\n", sep="")
cat("\nMallows Cp:\n")
if(x$num.max>1) {
nvar <- ncol(x$cp)-1
x$cp[,(nvar+1)] <- signif(x$cp[,(nvar+1)],digits)
} else {
nvar <- length(x$cp)-1
x$cp[(nvar+1)] <- signif(x$cp[(nvar+1)],digits)
}
print(x$cp)
cat("\n")
cat("Printed the first ",x$num.max," best models \n")
invisible(x)
}
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