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MLEce

Asymptotic Efficient Closed-Form Estimators for Multivariate Distributions

v2.1.0 · Sep 27, 2023 · GPL-2

Description

Asymptotic efficient closed-form estimators (MLEces) are provided in this package for three multivariate distributions(gamma, Weibull and Dirichlet) whose maximum likelihood estimators (MLEs) are not in closed forms. Closed-form estimators are strong consistent, and have the similar asymptotic normal distribution like MLEs. But the calculation of MLEces are much faster than the corresponding MLEs. Further details and explanations of MLEces can be found in. Jang, et al. (2023) <doi:10.1111/stan.12299>. Kim, et al. (2023) <doi:10.1080/03610926.2023.2179880>.

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r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
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r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies nleqslv LaplacesDemon sirt ggplot2 reshape mvtnorm MLEce

Version History

new 2.1.0 Mar 10, 2026
updated 2.1.0 ← 2.0.1 diff Sep 26, 2023
updated 2.0.1 ← 1.0.1 diff Sep 24, 2023
updated 1.0.1 ← 1.0.0 diff Nov 13, 2022
new 1.0.0 Nov 10, 2022