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twopartm
View on CRAN: Click
here
Download and install twopartm package within the R console
Install from CRAN:
install.packages("twopartm")
Install from Github:
library("remotes")
install_github("cran/twopartm")
Install by package version:
library("remotes")
install_version("twopartm", "0.1.0")
Attach the package and use:
library("twopartm")
Maintained by
Yajie Duan
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.twopartm . twopartm results . twopartm.pdf . twopartm_0.1.0.tar.gz . twopartm_0.1.0.zip . twopartm_0.1.0.zip . twopartm_0.1.0.zip . twopartm_0.1.0.tgz . twopartm_0.1.0.tgz . twopartm_0.1.0.tgz . twopartm_0.1.0.tgz . twopartm_0.1.0.tgz . twopartm_0.1.0.tgz . https://CRAN.R-project.org/package=twopartm .
First Published: 2022-10-14
Latest Update: 2022-10-14
Description:
Fit two-part regression models for zero-inflated data. The models and their components are represented using S4 classes and methods. Average Marginal effects and predictive margins with standard errors and confidence intervals can be calculated from two-part model objects. Belotti, F., Deb, P., Manning, W. G., & Norton, E. C. (2015) <doi:10.1177/1536867X1501500102>.
How to cite:
Yajie Duan (2022). twopartm: Two-Part Model with Marginal Effects. R package version 0.1.0, https://cran.r-project.org/web/packages/twopartm. Accessed 02 Apr. 2025.
Previous versions and publish date:
No previous versions
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Other R packages that twopartm depends,
imports, suggests or enhances
Complete documentation for twopartm
Functions, R codes and Examples using
the twopartm R package
Some associated functions: AME . FiellerRatio . bioChemists . coef-methods . logLik-methods . margin . meps . plot-methods . predict-methods . residuals-methods . tpm . twopartm-class .
Some associated R codes: AME.R . AME_build.R . AME_build_default.R . AME_build_factor.R . AME_build_logical.R . FiellerRatio.R . boots_model.R . jacobian.R . margin.R . margin_build.R . margin_build_default.R . margin_build_factor.R . margin_build_logical.R . methods.R . predict.R . tpm.R . twopm.R . Full twopartm package functions and examples
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