Package: HETOP 0.2-6

J.R. Lockwood

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:J.R. Lockwood

HETOP_0.2-6.tar.gz
HETOP_0.2-6.zip(r-4.5)HETOP_0.2-6.zip(r-4.4)HETOP_0.2-6.zip(r-4.3)
HETOP_0.2-6.tgz(r-4.4-any)HETOP_0.2-6.tgz(r-4.3-any)
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)

Peer review:

Bug tracker:https://github.com/jrlockwood/hetop/issues

On CRAN:

5 exports 1 stars 0.73 score 15 dependencies 148 downloads

Last updated 2 years agofrom:be2121f92b. Checks:OK: 5 NOTE: 2. Indexed: yes.

Exports:fh_hetopgendata_hetopmle_hetoptriple_goalwaic_hetop

Dependencies:abindbootclicodagluelatticelifecyclemagrittrR2jagsR2WinBUGSrjagsrlangstringistringrvctrs