Package: ssmrob 1.0
Mikhail Zhelonkin
ssmrob: Robust Estimation and Inference in Sample Selection Models
Package provides a set of tools for robust estimation and inference for models with sample selectivity and endogenous treatment model. For details, see Zhelonkin and Ronchetti (2021) <doi:10.18637/jss.v099.i04>.
Authors:
ssmrob_1.0.tar.gz
ssmrob_1.0.tar.gz(r-4.5-noble)ssmrob_1.0.tar.gz(r-4.4-noble)
ssmrob_1.0.tgz(r-4.4-emscripten)ssmrob_1.0.tgz(r-4.3-emscripten)
ssmrob.pdf |ssmrob.html✨
ssmrob/json (API)
NEWS
# Install 'ssmrob' in R: |
install.packages('ssmrob', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:e91bed9355. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 17 2024 |
R-4.5-linux | OK | Dec 17 2024 |
Exports:dLambdadSMdLambdadSM5etreg2steprobVcovetregrobheck2steprobVcovheck5twosteprobVcovheckit5robheckitrobheckitrob.controlMmatrMPsiMestssmrobx2weight.covMcdx2weight.robCov
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DEoptimRDerivdigestdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmaxLikmgcvmicrobenchmarkminqamiscToolsmodelrmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangrobustbasesampleSelectionsandwichscalesSparseMstringistringrsurvivalsystemfittibbletidyrtidyselectutf8vctrsVGAMviridisLitewithrzoo