bucket_ED/R-lava

   1 # Buildsheet autogenerated by ravenadm tool -- Do not edit.
   2
   3 NAMEBASE=               R-lava
   4 VERSION=                1.7.3
   5 KEYWORDS=               cran
   6 VARIANTS=               standard
   7 SDESC[standard]=        Latent Variable Models
   8 HOMEPAGE=               https://kkholst.github.io/lava/
   9 CONTACT=                CRAN_Automaton[cran@ironwolf.systems]
  10
  11 DOWNLOAD_GROUPS=        main
  12 SITES[main]=            CRAN/src/contrib
  13                         https://loki.dragonflybsd.org/cranfiles/
  14 DISTFILE[1]=            lava_1.7.3.tar.gz:main
  15 DIST_SUBDIR=            CRAN
  16 DF_INDEX=               1
  17 SPKGS[standard]=        single
  18
  19 OPTIONS_AVAILABLE=      none
  20 OPTIONS_STANDARD=       none
  21
  22 BUILDRUN_DEPENDS=       R-future.apply:single:standard
  23                         R-numDeriv:single:standard
  24                         R-progressr:single:standard
  25                         R-SQUAREM:single:standard
  26
  27 USES=                   cran gmake
  28
  29 DISTNAME=               lava
  30
  31 GENERATED=              yes
  32
  33 INSTALL_REQ_TOOLCHAIN=  yes
  34
  35 [FILE:809:descriptions/desc.single]
  36 lava: Latent Variable Models
  37
  38 A general implementation of Structural Equation Models with latent
  39 variables (MLE, 2SLS, and composite likelihood estimators) with both
  40 continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen
  41 (2013) &lt;<a href="https://doi.org/10.1007%2Fs00180-012-0344-y"
  42 target="_top">doi:10.1007/s00180-012-0344-y</a>&gt;). Mixture latent
  43 variable models and non-linear latent variable models (Holst and
  44 Budtz-Joergensen (2020) &lt;<a
  45 href="https://doi.org/10.1093%2Fbiostatistics%2Fkxy082"
  46 target="_top">doi:10.1093/biostatistics/kxy082</a>&gt;). The package also
  47 provides methods for graph exploration (d-separation, back-door criterion),
  48 simulation of general non-linear latent variable models, and estimation of
  49 influence functions for a broad range of statistical models.
  50
  51
  52 [FILE:101:distinfo]
  53 4e087df1350b05c3d0403597a1ad97f4b0e183047d5d8636a62143f26bd86a08      1182397 CRAN/lava_1.7.3.tar.gz
  54