Merge branch 'master' into 1.0.4-develop

This commit is contained in:
Joel Therrien 2019-07-24 10:54:21 -07:00
commit af0c8f2e96
12 changed files with 40 additions and 18 deletions

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@ -8,7 +8,7 @@
#'
#' @param delta A vector of integers detailing the event that occurred. A value
#' of 0 denotes that censoring occurred first and that time was recorded.
#' @param u A vector of numerics detailing the recorded event times (possibly
#' @param u A numeric vector detailing the recorded event times (possibly
#' censored).
#' @param C If the censoring times are known for all observations, they can be
#' included which allows for \code{\link{GrayLogRankSplitFinder}} to be used.

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@ -1,7 +1,10 @@
#' Numeric
#'
#' An internal function that converts an R vector of numerics or integers into an R list containing java.lang.Double objects. This method does not need to be used directly by the user, as \code{\link{train}} will automatically handle numeric responses if you're working in the regression settings.
#' An internal function that converts an R vector of numerics or integers into
#' an R list containing java.lang.Double objects. This method does not need to
#' be used directly by the user, as \code{\link{train}} will automatically
#' handle numeric responses if you're working in the regression settings.
#' @param y The R vector of numbers
#' @export
#' @return An R list containing rJava Doubles.

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@ -9,8 +9,8 @@
#' @param forest An existing forest.
#' @param numTreesToAdd The number of trees to add.
#' @param savePath If saving the forest, the directory to save to. Default is
#' \code{NULL}. Note that you need to respecify the path if you're modifying a
#' previously saved forest.
#' \code{NULL}. Note that you need to re-specify the path if you're modifying
#' a previously saved forest.
#' @param savePath.overwrite If \code{savePath} is pointing to an existing
#' directory, possibly containing another forest, this specifies what should
#' be done.

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@ -10,7 +10,7 @@
#' The user only needs to pass this object into \code{\link{train}} as the
#' \code{forestResponseCombiner} parameter.
#'
#' @param events A vector of integers specifying which competing risk events's
#' @param events A vector of integers specifying which competing risks event
#' functions should be processed. This should correspond to all of the
#' competing risk events that can occur, from 1 to the largest number.
#' @param times An optional numeric vector that forces the output functions to
@ -66,7 +66,7 @@ CR_FunctionCombiner <- function(events, times = NULL){
#' The user only needs to pass this object into \code{\link{train}} as the
#' \code{nodeResponseCombiner} parameter.
#'
#' @param events A vector of integers specifying which competing risk events's
#' @param events A vector of integers specifying which competing risks event
#' functions should be processed. This should correspond to all of the
#' competing risk events that can occur, from 1 to the largest number.
#' @export

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@ -48,6 +48,10 @@ extractCIF <- function (x, event) {
#' @export
extractCIF.CompetingRiskFunctions <- function(x, event){
if(is.null(event) | anyNA(event)){
stop("event must be specified")
}
fun <- stats::stepfun(x$time.interest, c(0, x$cif[,event]))
class(fun) <- "function"
@ -57,6 +61,10 @@ extractCIF.CompetingRiskFunctions <- function(x, event){
#' @export
extractCIF.CompetingRiskFunctions.List <- function(x, event){
if(is.null(event) | anyNA(event)){
stop("event must be specified")
}
return(lapply(x, extractCIF.CompetingRiskFunctions, event))
}
@ -70,6 +78,10 @@ extractCHF <- function (x, event) {
#' @export
extractCHF.CompetingRiskFunctions <- function(x, event){
if(is.null(event) | anyNA(event)){
stop("event must be specified")
}
fun <- stats::stepfun(x$time.interest, c(0, x$chf[,event]))
class(fun) <- "function"
@ -79,6 +91,10 @@ extractCHF.CompetingRiskFunctions <- function(x, event){
#' @export
extractCHF.CompetingRiskFunctions.List <- function(x, event){
if(is.null(event) | anyNA(event)){
stop("event must be specified")
}
return(lapply(x, extractCHF.CompetingRiskFunctions, event))
}

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@ -4,7 +4,7 @@
# it's in the inst folder which won't be present if the package was actually
# loaded from the R library). Thus with morePaths we make sure it loads up the
# jar in this situation.
.jpackage(pkgname, lib.loc=libname, morePaths="inst/java/largeRCRF-1.0-SNAPSHOT.jar")
.jpackage(pkgname, lib.loc=libname, morePaths="inst/java/largeRCRF-library-1.0-SNAPSHOT.jar")
}

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@ -2,4 +2,4 @@ The Java source code for this package can be obtained at https://github.com/jath
* Delete the Jar file in `inst/java/`
* Build the Java code in its own separate directory using `mvn clean package` in the root of the directory (same folder containing `README.md`). Make sure you have [Maven](https://maven.apache.org/) installed.
* Copy the `library/target/largeRCRF-library/1.0-SNAPSHOT.jar` file produced in the Java directory into `inst/java/`
* Copy the `library/target/largeRCRF-library-1.0-SNAPSHOT.jar` file produced in the Java directory into `inst/java/`

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@ -7,7 +7,7 @@
CR_FunctionCombiner(events, times = NULL)
}
\arguments{
\item{events}{A vector of integers specifying which competing risk events's
\item{events}{A vector of integers specifying which competing risks event
functions should be processed. This should correspond to all of the
competing risk events that can occur, from 1 to the largest number.}

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@ -10,7 +10,7 @@ CR_Response(delta, u, C = NULL)
\item{delta}{A vector of integers detailing the event that occurred. A value
of 0 denotes that censoring occurred first and that time was recorded.}
\item{u}{A vector of numerics detailing the recorded event times (possibly
\item{u}{A numeric vector detailing the recorded event times (possibly
censored).}
\item{C}{If the censoring times are known for all observations, they can be

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@ -7,7 +7,7 @@
CR_ResponseCombiner(events)
}
\arguments{
\item{events}{A vector of integers specifying which competing risk events's
\item{events}{A vector of integers specifying which competing risks event
functions should be processed. This should correspond to all of the
competing risk events that can occur, from 1 to the largest number.}
}

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@ -13,7 +13,10 @@ Numeric(y)
An R list containing rJava Doubles.
}
\description{
An internal function that converts an R vector of numerics or integers into an R list containing java.lang.Double objects. This method does not need to be used directly by the user, as \code{\link{train}} will automatically handle numeric responses if you're working in the regression settings.
An internal function that converts an R vector of numerics or integers into
an R list containing java.lang.Double objects. This method does not need to
be used directly by the user, as \code{\link{train}} will automatically
handle numeric responses if you're working in the regression settings.
}
\examples{
x <- Numeric(1:5)

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@ -14,8 +14,8 @@ addTrees(forest, numTreesToAdd, savePath = NULL,
\item{numTreesToAdd}{The number of trees to add.}
\item{savePath}{If saving the forest, the directory to save to. Default is
\code{NULL}. Note that you need to respecify the path if you're modifying a
previously saved forest.}
\code{NULL}. Note that you need to re-specify the path if you're modifying
a previously saved forest.}
\item{savePath.overwrite}{If \code{savePath} is pointing to an existing
directory, possibly containing another forest, this specifies what should