Package: EMSS 1.1.1

Sang Kyu Lee

EMSS: Some EM-Type Estimation Methods for the Heckman Selection Model

Some EM-type algorithms to estimate parameters for the well-known Heckman selection model are provided in the package. Such algorithms are as follow: ECM(Expectation/Conditional Maximization), ECM(NR)(the Newton-Raphson method is adapted to the ECM) and ECME(Expectation/Conditional Maximization Either). Since the algorithms are based on the EM algorithm, they also have EM’s main advantages, namely, stability and ease of implementation. Further details and explanations of the algorithms can be found in Zhao et al. (2020) <doi:10.1016/j.csda.2020.106930>.

Authors:Kexuan Yang <[email protected]>, Sang Kyu Lee <[email protected]>, Jun Zhao <[email protected]>, and Hyoung-Moon Kim <[email protected] >

EMSS_1.1.1.tar.gz
EMSS_1.1.1.zip(r-4.7-any)EMSS_1.1.1.zip(r-4.6-any)EMSS_1.1.1.zip(r-4.5-any)
EMSS_1.1.1.tgz(r-4.6-any)EMSS_1.1.1.tgz(r-4.5-any)
EMSS_1.1.1.tar.gz(r-4.7-any)EMSS_1.1.1.tar.gz(r-4.6-any)
EMSS_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
EMSS/json (API)

# Install 'EMSS' in R:
install.packages('EMSS', repos = c('https://sangkyustat.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sangkyustat/emss/issues

Datasets:
  • Smoke - Survey Data on Smoking Behaviour

On CRAN:

Conda:

2.48 score 1 scripts 329 downloads 3 mentions 1 exports 76 dependencies

Last updated from:d7a3e1724c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK153
source / vignettesOK186
linux-releaseOK201
macos-releaseOK190
macos-oldrelOK230
windows-develOK122
windows-releaseOK117
windows-oldrelOK119
wasm-releaseOK114

Exports:EMSS

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdigestdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmaxLikmgcvminqamiscToolsmodelrmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sampleSelectionsandwichscalesSparseMstringistringrsurvivalsystemfittibbletidyrtidyselecttimeDateurcautf8vctrsVGAMviridisLitewithrzoo