Date: Fri, 29 Sep 2017 04:30:12 +0000 (UTC) From: TAKATSU Tomonari <tota@FreeBSD.org> To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r450882 - head/math/R-cran-lava Message-ID: <201709290430.v8T4UCXX036607@repo.freebsd.org>
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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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