svn commit: r450882 - head/math/R-cran-lava
TAKATSU Tomonari
tota at FreeBSD.org
Fri Sep 29 04:30:13 UTC 2017
Author: tota
Date: Fri Sep 29 04:30:12 2017
New Revision: 450882
URL: https://svnweb.freebsd.org/changeset/ports/450882
Log:
- Update to 1.5.1
- Update pkg-descr
Modified:
head/math/R-cran-lava/Makefile (contents, props changed)
head/math/R-cran-lava/distinfo (contents, props changed)
head/math/R-cran-lava/pkg-descr (contents, props changed)
Modified: head/math/R-cran-lava/Makefile
==============================================================================
--- head/math/R-cran-lava/Makefile Fri Sep 29 01:59:33 2017 (r450881)
+++ head/math/R-cran-lava/Makefile Fri Sep 29 04:30:12 2017 (r450882)
@@ -2,7 +2,7 @@
# $FreeBSD$
PORTNAME= lava
-DISTVERSION= 1.5
+DISTVERSION= 1.5.1
CATEGORIES= math
DISTNAME= ${PORTNAME}_${DISTVERSION}
Modified: head/math/R-cran-lava/distinfo
==============================================================================
--- head/math/R-cran-lava/distinfo Fri Sep 29 01:59:33 2017 (r450881)
+++ head/math/R-cran-lava/distinfo Fri Sep 29 04:30:12 2017 (r450882)
@@ -1,3 +1,3 @@
-TIMESTAMP = 1504939480
-SHA256 (lava_1.5.tar.gz) = 82fdc3fccb48c0928e043c08162220381269f83e73d902335107f510423fda74
-SIZE (lava_1.5.tar.gz) = 828070
+TIMESTAMP = 1506647804
+SHA256 (lava_1.5.1.tar.gz) = c41da42c9d90d81de876c29bfca736fa111a8924add07c85ab2f8d98200195ed
+SIZE (lava_1.5.1.tar.gz) = 842110
Modified: head/math/R-cran-lava/pkg-descr
==============================================================================
--- head/math/R-cran-lava/pkg-descr Fri Sep 29 01:59:33 2017 (r450881)
+++ head/math/R-cran-lava/pkg-descr Fri Sep 29 04:30:12 2017 (r450882)
@@ -1,3 +1,10 @@
-Estimation and simulation of latent variable models.
+A general implementation of Structural Equation Models with latent
+variables (MLE, 2SLS, and composite likelihood estimators) with
+both continuous, censored, and ordinal outcomes (Holst and
+Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>). The package
+also provides methods for graph exploration (d-separation, back-door
+criterion), simulation of general non-linear latent variable models,
+and estimation of influence functions for a broad range of statistical
+models.
WWW: https://cran.r-project.org/web/packages/lava/
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