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authorTAKATSU Tomonari <tota@FreeBSD.org>2017-09-29 04:30:12 +0000
committerTAKATSU Tomonari <tota@FreeBSD.org>2017-09-29 04:30:12 +0000
commit72b24fbe9d6e2bd594f4755e75a5c11efcf15b28 (patch)
tree30968bc928f6b786ab039fc70fd4bb353be50e0c /math
parent579cbe8738f135dc08d56a6e13b5ff491a754f60 (diff)
downloadports-72b24fbe9d6e2bd594f4755e75a5c11efcf15b28.tar.gz
ports-72b24fbe9d6e2bd594f4755e75a5c11efcf15b28.zip
Notes
Diffstat (limited to 'math')
-rw-r--r--math/R-cran-lava/Makefile2
-rw-r--r--math/R-cran-lava/distinfo6
-rw-r--r--math/R-cran-lava/pkg-descr9
3 files changed, 12 insertions, 5 deletions
diff --git a/math/R-cran-lava/Makefile b/math/R-cran-lava/Makefile
index 76a7fa654f2c..4fdba869a183 100644
--- a/math/R-cran-lava/Makefile
+++ b/math/R-cran-lava/Makefile
@@ -2,7 +2,7 @@
# $FreeBSD$
PORTNAME= lava
-DISTVERSION= 1.5
+DISTVERSION= 1.5.1
CATEGORIES= math
DISTNAME= ${PORTNAME}_${DISTVERSION}
diff --git a/math/R-cran-lava/distinfo b/math/R-cran-lava/distinfo
index 3d5157b29555..fcec374494c5 100644
--- a/math/R-cran-lava/distinfo
+++ b/math/R-cran-lava/distinfo
@@ -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
diff --git a/math/R-cran-lava/pkg-descr b/math/R-cran-lava/pkg-descr
index ce65e25cc103..bfc525f3f8cb 100644
--- a/math/R-cran-lava/pkg-descr
+++ b/math/R-cran-lava/pkg-descr
@@ -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/