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Update to version 2.2.7
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CFWP committed Oct 11, 2023
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4 changes: 2 additions & 2 deletions DESCRIPTION
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Package: rags2ridges
Type: Package
Title: Ridge Estimation of Precision Matrices from High-Dimensional Data
Version: 2.2.6
Version: 2.2.7
Maintainer: Carel F.W. Peeters <carel.peeters@wur.nl>
Authors@R: c(
person(given = c("Carel", "F.W."),
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testthat,
knitr,
rmarkdown
RoxygenNote: 7.1.1
RoxygenNote: 7.2.3
Encoding: UTF-8
VignetteBuilder: knitr
6 changes: 0 additions & 6 deletions NAMESPACE
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Expand Up @@ -57,21 +57,17 @@ export(optPenalty.fused.auto)
export(optPenalty.fused.grid)
export(optPenalty.kCV)
export(optPenalty.kCVauto)
export(optPenaltyPchordal)
export(pcor)
export(pooledP)
export(pooledS)
export(pruneMatrix)
export(ridgeP)
export(ridgeP.fused)
export(ridgePathS)
export(ridgePchordal)
export(ridgePsign)
export(ridgeS)
export(rmvnormal)
export(sparsify)
export(sparsify.fused)
export(support4ridgeP)
export(symm)
import(Rcpp)
import(igraph)
Expand Down Expand Up @@ -112,8 +108,6 @@ importFrom(graphics,par)
importFrom(graphics,plot)
importFrom(graphics,rug)
importFrom(graphics,text)
importFrom(igraph,graph.adjacency)
importFrom(igraph,igraph.to.graphNEL)
importFrom(methods,as)
importFrom(methods,hasArg)
importFrom(methods,is)
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17 changes: 17 additions & 0 deletions NEWS.md
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# News for Package [rags2ridges](https://cran.r-project.org/package=rags2ridges)


# Version 2.2.7

## Adjustments:
* Functions optPenaltyPchordal, ridgePchordal, ridgePsign, and support4ridgeP (temporarily) deprecated (for major adjustments)

## Documentation:
* Fixed URLs.


# Version 2.2.6

## Documentation:
* Canonicalization of URLs.
* Update of published papers


# Version 2.2.5

## Documentation:
* Improved documentation and added new [pkgdown](https://cran.r-project.org/package=pkgdown) documentation website.
* NEWS file moved to markdown format instead of .Rd and available on the website
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6 changes: 3 additions & 3 deletions R/rags2ridges.R
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Expand Up @@ -3750,7 +3750,7 @@ if (getRversion() >= "2.15.1") utils::globalVariables(c("X1", "X2", "value"))
#' color scale for matrix entries in the negative range. \code{highColor}
#' determines the color scale for matrix entries in the positive range. For the
#' colors supported by the arguments \code{lowColor} and \code{highColor}, see
#' \url{https://stat.columbia.edu/~tzheng/files/Rcolor.pdf}. White entries in
#' \url{https://www.nceas.ucsb.edu/sites/default/files/2020-04/colorPaletteCheatsheet.pdf}. White entries in
#' the plot represent the midscale value of 0. One can opt to set the diagonal
#' entries to the midscale color of white when one is interested in
#' (heatmapping) the off-diagonal elements only. To achieve this, set
Expand Down Expand Up @@ -3929,7 +3929,7 @@ edgeHeat <- function(M, lowColor = "blue", highColor = "red", textsize = 10,
#' If \code{prune = TRUE} the vertices of degree 0 (vertices not implicated by
#' any edge) are removed. For the colors supported by the arguments
#' \code{Vcolor}, \code{VBcolor}, \code{VLcolor}, \code{pEcolor}, and
#' \code{nEcolor} see \url{https://stat.columbia.edu/~tzheng/files/Rcolor.pdf}.
#' \code{nEcolor} see \url{https://www.nceas.ucsb.edu/sites/default/files/2020-04/colorPaletteCheatsheet.pdf}.
#'
#' @param M (Possibly sparsified) precision \code{matrix}
#' @param type A \code{character} indicating the type of graph to be produced.
Expand Down Expand Up @@ -4482,7 +4482,7 @@ GGMnetworkStats <- function(sparseP, as.table = FALSE){
#' TRUE}. If \code{prune = TRUE} the vertices of degree 0 (vertices not
#' implicated by any edge) are removed. For the colors supported by the
#' arguments \code{nodecol}, \code{Vcolor}, and \code{VBcolor}, see
#' \url{https://stat.columbia.edu/~tzheng/files/Rcolor.pdf}.
#' \url{https://www.nceas.ucsb.edu/sites/default/files/2020-04/colorPaletteCheatsheet.pdf}.
#'
#' @param P0 Sparse (possibly standardized) precision matrix.
#' @param node1 A \code{numeric} specifying an endpoint. The numeric should
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