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CVS commit: pkgsrc



Module Name:    pkgsrc
Committed By:   brook
Date:           Wed Jul 31 13:09:37 UTC 2019

Modified Files:
        pkgsrc/doc: CHANGES-2019
        pkgsrc/math: Makefile
Added Files:
        pkgsrc/math/R-acepack: DESCR Makefile distinfo

Log Message:
R-acepack: initial commit.

Two nonparametric methods for multiple regression transform selection
are provided. The first, Alternative Conditional Expectations (ACE),
is an algorithm to find the fixed point of maximal correlation, i.e.
it finds a set of transformed response variables that maximizes R^2
using smoothing functions [see Breiman, L., and J.H. Friedman. 1985.
"Estimating Optimal Transformations for Multiple Regression and
Correlation". Journal of the American Statistical Association.
80:580-598. <doi:10.1080/01621459.1985.10478157>]. Also included is
the Additivity Variance Stabilization (AVAS) method which works better
than ACE when correlation is low [see Tibshirani, R.. 1986.
"Estimating Transformations for Regression via Additivity and Variance
Stabilization". Journal of the American Statistical Association.
83:394-405. <doi:10.1080/01621459.1988.10478610>]. A good introduction
to these two methods is in chapter 16 of Frank Harrel's "Regression
Modeling Strategies" in the Springer Series in Statistics.


To generate a diff of this commit:
cvs rdiff -u -r1.3102 -r1.3103 pkgsrc/doc/CHANGES-2019
cvs rdiff -u -r1.412 -r1.413 pkgsrc/math/Makefile
cvs rdiff -u -r0 -r1.1 pkgsrc/math/R-acepack/DESCR \
    pkgsrc/math/R-acepack/Makefile pkgsrc/math/R-acepack/distinfo

Please note that diffs are not public domain; they are subject to the
copyright notices on the relevant files.

Modified files:

Index: pkgsrc/doc/CHANGES-2019
diff -u pkgsrc/doc/CHANGES-2019:1.3102 pkgsrc/doc/CHANGES-2019:1.3103
--- pkgsrc/doc/CHANGES-2019:1.3102      Wed Jul 31 13:07:38 2019
+++ pkgsrc/doc/CHANGES-2019     Wed Jul 31 13:09:36 2019
@@ -1,4 +1,4 @@
-$NetBSD: CHANGES-2019,v 1.3102 2019/07/31 13:07:38 brook Exp $
+$NetBSD: CHANGES-2019,v 1.3103 2019/07/31 13:09:36 brook Exp $
 
 Changes to the packages collection and infrastructure in 2019:
 
@@ -5059,3 +5059,4 @@ Changes to the packages collection and i
        Added math/R-Formula version 1.2.3 [brook 2019-07-31]
        Added math/R-RandomFieldsUtils version 0.5.3 [brook 2019-07-31]
        Added math/R-RcmdrMisc version 2.5.1 [brook 2019-07-31]
+       Added math/R-acepack version 1.4.1 [brook 2019-07-31]

Index: pkgsrc/math/Makefile
diff -u pkgsrc/math/Makefile:1.412 pkgsrc/math/Makefile:1.413
--- pkgsrc/math/Makefile:1.412  Wed Jul 31 13:07:38 2019
+++ pkgsrc/math/Makefile        Wed Jul 31 13:09:36 2019
@@ -1,4 +1,4 @@
-# $NetBSD: Makefile,v 1.412 2019/07/31 13:07:38 brook Exp $
+# $NetBSD: Makefile,v 1.413 2019/07/31 13:09:36 brook Exp $
 
 COMMENT=       Mathematics
 
@@ -28,6 +28,7 @@ SUBDIR+=      R-SparseM
 SUBDIR+=       R-VGAM
 SUBDIR+=       R-XML
 SUBDIR+=       R-abind
+SUBDIR+=       R-acepack
 SUBDIR+=       R-akima
 SUBDIR+=       R-aplpack
 SUBDIR+=       R-bbmle

Added files:

Index: pkgsrc/math/R-acepack/DESCR
diff -u /dev/null pkgsrc/math/R-acepack/DESCR:1.1
--- /dev/null   Wed Jul 31 13:09:37 2019
+++ pkgsrc/math/R-acepack/DESCR Wed Jul 31 13:09:36 2019
@@ -0,0 +1,15 @@
+Two nonparametric methods for multiple regression transform selection
+are provided. The first, Alternative Conditional Expectations (ACE),
+is an algorithm to find the fixed point of maximal correlation, i.e.
+it finds a set of transformed response variables that maximizes R^2
+using smoothing functions [see Breiman, L., and J.H. Friedman. 1985.
+"Estimating Optimal Transformations for Multiple Regression and
+Correlation". Journal of the American Statistical Association.
+80:580-598. <doi:10.1080/01621459.1985.10478157>]. Also included is
+the Additivity Variance Stabilization (AVAS) method which works better
+than ACE when correlation is low [see Tibshirani, R.. 1986.
+"Estimating Transformations for Regression via Additivity and Variance
+Stabilization". Journal of the American Statistical Association.
+83:394-405. <doi:10.1080/01621459.1988.10478610>]. A good introduction
+to these two methods is in chapter 16 of Frank Harrel's "Regression
+Modeling Strategies" in the Springer Series in Statistics.
Index: pkgsrc/math/R-acepack/Makefile
diff -u /dev/null pkgsrc/math/R-acepack/Makefile:1.1
--- /dev/null   Wed Jul 31 13:09:37 2019
+++ pkgsrc/math/R-acepack/Makefile      Wed Jul 31 13:09:36 2019
@@ -0,0 +1,16 @@
+# $NetBSD: Makefile,v 1.1 2019/07/31 13:09:36 brook Exp $
+
+CATEGORIES=    math R
+
+MAINTAINER=    pkgsrc-users%NetBSD.org@localhost
+HOMEPAGE=      ${R_HOMEPAGE_BASE}/acepack/
+COMMENT=       ACE and AVAS for selecting multiple regression transformations
+LICENSE=       mit
+
+R_PKGNAME=     acepack
+R_PKGVER=      1.4.1
+
+USE_LANGUAGES= c fortran
+
+.include "../../math/R/Makefile.extension"
+.include "../../mk/bsd.pkg.mk"
Index: pkgsrc/math/R-acepack/distinfo
diff -u /dev/null pkgsrc/math/R-acepack/distinfo:1.1
--- /dev/null   Wed Jul 31 13:09:37 2019
+++ pkgsrc/math/R-acepack/distinfo      Wed Jul 31 13:09:36 2019
@@ -0,0 +1,6 @@
+$NetBSD: distinfo,v 1.1 2019/07/31 13:09:36 brook Exp $
+
+SHA1 (R/acepack_1.4.1.tar.gz) = b8f34f23f133fb62b40ab579c69e8c9131934f31
+RMD160 (R/acepack_1.4.1.tar.gz) = 23499d6aa9c41ec3575cc2209559e64af61bfb7f
+SHA512 (R/acepack_1.4.1.tar.gz) = e6787d653224043d0fac8b7e63a8b8060320fc1e4c6ab76b20ce3e7712cbd0f89af8731b383ceb90f9be4381a72eb965cad84e979cb8c935318fecf6d3f9ee88
+Size (R/acepack_1.4.1.tar.gz) = 34848 bytes



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