Package: HETOP 0.2-6
HETOP: MLE and Bayesian Estimation of Heteroskedastic Ordered Probit (HETOP) Model
Provides functions for maximum likelihood and Bayesian estimation of the Heteroskedastic Ordered Probit (HETOP) model, using methods described in Lockwood, Castellano and Shear (2018) <doi:10.3102/1076998618795124> and Reardon, Shear, Castellano and Ho (2017) <doi:10.3102/1076998616666279>. It also provides a general function to compute the triple-goal estimators of Shen and Louis (1998) <doi:10.1111/1467-9868.00135>.
Authors:
HETOP_0.2-6.tar.gz
HETOP_0.2-6.tar.gz(r-4.5-noble)HETOP_0.2-6.tar.gz(r-4.4-noble)
HETOP_0.2-6.tgz(r-4.4-emscripten)HETOP_0.2-6.tgz(r-4.3-emscripten)
HETOP.pdf |HETOP.html✨
HETOP/json (API)
# Install 'HETOP' in R: |
install.packages('HETOP', 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 5 years agofrom:736f6f289b. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 02 2024 |
R-4.5-linux | NOTE | Dec 02 2024 |
Exports:fh_hetopgendata_hetopmle_hetoptriple_goalwaic_hetop
Dependencies:abindbootclicodagluelatticelifecyclemagrittrR2jagsR2WinBUGSrjagsrlangstringistringrvctrs