Package: HeckmanStan 1.0.0

Heeju Lim

HeckmanStan: Heckman Selection Models Based on Bayesian Analysis

Implements Heckman selection models using a Bayesian approach via 'Stan' and compares the performance of normal, Student’s t, and contaminated normal distributions in addressing complexities and selection bias (Heeju Lim, Victor E. Lachos, and Victor H. Lachos, Bayesian analysis of flexible Heckman selection models using Hamiltonian Monte Carlo, 2025, under submission).

Authors:Heeju Lim [aut, cre], Victor E. Lachos [aut], Victor H. Lachos [aut]

HeckmanStan_1.0.0.tar.gz
HeckmanStan_1.0.0.zip(r-4.7-any)HeckmanStan_1.0.0.zip(r-4.6-any)
HeckmanStan_1.0.0.tar.gz(r-4.7-any)HeckmanStan_1.0.0.tar.gz(r-4.6-any)
HeckmanStan_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
HeckmanStan/json (API)

# Install 'HeckmanStan' in R:
install.packages('HeckmanStan', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • MEPS2001 - MEPS 2001: Ambulatory Expenditures Data
  • PSID1976 - Panel Study of Income Dynamics 1976 Extract

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 412 downloads 2 exports 48 dependencies

Last updated from:bb471c5994. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK173
source / vignettesOK216
linux-releaseOK171
windows-develOK169
windows-releaseOK101
wasm-releaseOK155

Exports:geraHeckmanHeckmanStan

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglifecycleloomagrittrmatrixStatsmvtnormnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanS7scalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr