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It performs maximum likelihood estimation for the Heckman selection model (Normal, Student-t or Contaminated normal) using an EM-algorithm <doi:10.1016/j.jmva.2021.104737>. It also performs influence diagnostic through global and local influence for four possible perturbation schema.
Version: | 0.2-1 |
Imports: | mvtnorm (≥ 1.1-0), sampleSelection (≥ 1.2-6), MomTrunc (≥ 5.79), PerformanceAnalytics (≥ 2.0.4), ggplot2, methods |
Published: | 2024-04-07 |
DOI: | 10.32614/CRAN.package.HeckmanEM |
Author: | Marcos Prates [aut, cre, trl], Victor Lachos [aut], Dipak Dey [aut], Marcos Oliveira [aut, ctb], Christian Galarza [ctb], Katherine Loor [ctb], Alejandro Ordonez [ctb] |
Maintainer: | Marcos Prates <marcosop at est.ufmg.br> |
License: | GPL-2 |
NeedsCompilation: | no |
Citation: | HeckmanEM citation info |
Materials: | ChangeLog |
CRAN checks: | HeckmanEM results |
Reference manual: | HeckmanEM.pdf |
Package source: | HeckmanEM_0.2-1.tar.gz |
Windows binaries: | r-devel: HeckmanEM_0.2-1.zip, r-release: HeckmanEM_0.2-1.zip, r-oldrel: HeckmanEM_0.2-1.zip |
macOS binaries: | r-release (arm64): HeckmanEM_0.2-1.tgz, r-oldrel (arm64): HeckmanEM_0.2-1.tgz, r-release (x86_64): HeckmanEM_0.2-1.tgz, r-oldrel (x86_64): HeckmanEM_0.2-1.tgz |
Old sources: | HeckmanEM archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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