_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-gjrm 0.2-6.7
Propagated dependencies: r-vinecopula@2.6.1 r-vgam@1.1-13 r-trust@0.1-8 r-survival@3.8-3 r-survey@4.4-2 r-scam@1.2-19 r-rmpfr@1.1-0 r-psych@2.5.3 r-numderiv@2016.8-1.1 r-mnormt@2.1.1 r-mgcv@1.9-3 r-matrixstats@1.5.0 r-magic@1.6-1 r-ismev@1.42 r-ggplot2@3.5.2 r-gamlss-dist@6.1-1 r-evd@2.3-7.1 r-distrex@2.9.6 r-copula@1.1-6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://www.ucl.ac.uk/statistics/people/giampieromarra
Licenses: GPL 2+
Synopsis: Generalised Joint Regression Modelling
Description:

Routines for fitting various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations errors association, endogeneity, non-random sample selection or partial observability.

Total results: 1