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Port details

math/R-cran-corpcor 1.6.10

Efficient estimation of covariance and partial correlation

Port info

Maintainer
longros@FreeBSD.org
Packages
latest: 1.6.10
Upstream
up to date
Last update
to 1.6.10 · 0638970079
Quarterly
not in the 2026Q4 packages
WWW
https://strimmerlab.github.io/software/corpcor/
CPE
not set in the port, and none could be determined, and that does not mean none exists
Links
cgit · VuXML · Report wrong data

UPDATING

No entry in UPDATING affects this port.

Entries come from UPDATING in the ports tree. They are matched to a port through the AFFECTS line, which is free text, so an entry that names no port (“users of python”) or a port that no longer exists is not shown anywhere.

Install

Package
# pkg install R-cran-corpcor
installs 1.6.10 from latest
Port
# cd /usr/ports/math/R-cran-corpcor && make install clean
Size
114 KiB download · 125 KiB installed
License
GPLv3+

Packages by version and architecture

latest

FreeBSD versionamd64aarch64i386
FreeBSD 16✗✗–
FreeBSD 15✗✗–
FreeBSD 14✗✗1.6.10

quarterly (2026Q4)

FreeBSD versionamd64aarch64i386
FreeBSD 15✗✗–
FreeBSD 14✗✗✗

version as in the ports tree (latest) or the most common one (quarterly) · different version · ✗ not built · – no packages for this platform. Package sets that have not been rebuilt for 60 days are left out.

Dependencies

Depends on 1

Run and library dependencies of the package on latest. Build dependencies are not in the package index.

Required by 0

No package on latest depends on it.

Packages on latest that depend on it directly.

Unaddressed and VuXML only (0)

No unaddressed CVE and nothing reported by pkg audit for the packaged version 1.6.10.

Fixed (0)

No VuXML entries for this package.

Problem reports (1) · open in Bugzilla, most recently changed first

PRSummaryStatusChanged
296812[NEW PORT] math/R-cran-corpcor: Efficient estimation of covariance and partial correlationNew2026-11-11

Commits (1)

Christos Longros (longros) · 1.6.10
math/R-cran-corpcor: New port: Efficient estimation of covariance and partial correlation

Implements a James-Stein-type shrinkage estimator for the covariance
matrix, with separate shrinkage for variances and correlations. The
approach is both computationally as well as statistically very efficient,
it is applicable to "small n, large p" data, and always returns a positive
definite and well-conditioned covariance matrix. In addition to inferring
the covariance matrix the package also provides shrinkage estimators for
partial correlations and partial variances. The inverse of the covariance
and correlation matrix can be efficiently computed, as well as any
arbitrary power of the shrinkage correlation matrix. Furthermore,
functions are available for fast singular value decomposition, for
computing the pseudoinverse, and for checking the rank and positive
definiteness of a matrix.

PR:		296812
Approved by:	jrm (mentor)
Differential Revision:	https://reviews.freebsd.org/D61259
0638970079