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MLEce  

Asymptotic Efficient Closed-Form Estimators for Multivariate Distributions
View on CRAN: Click here


Download and install MLEce package within the R console
Install from CRAN:
install.packages("MLEce")

Install from Github:
library("remotes")
install_github("cran/MLEce")

Install by package version:
library("remotes")
install_version("MLEce", "2.1.0")



Attach the package and use:
library("MLEce")
Maintained by
Jun Zhao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-11
Latest Update: 2023-09-27
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) . Kim, et al. (2023) .
How to cite:
Jun Zhao (2022). MLEce: Asymptotic Efficient Closed-Form Estimators for Multivariate Distributions. R package version 2.1.0, https://cran.r-project.org/web/packages/MLEce. Accessed 21 Jul. 2026.
Previous versions and publish date:
1.0.0 (2022-11-11 16:20), 1.0.1 (2022-11-14 18:30), 2.0.1 (2023-09-25 00:20), (2026-07-09 08:09)
Other packages that cited MLEce R package
View MLEce citation profile
Other R packages that MLEce depends, imports, suggests or enhances
Complete documentation for MLEce
Functions, R codes and Examples using the MLEce R package
Some associated functions: BiGam_CE . BiGam_MME . BiWei_CE . BiWei_ML . BiWei_info . CD2 . Diri_CE . Diri_CE_bt . Diri_MLE . Diri_MME . MLE_est . MLEce . MLEce_est . RNCE_est . Rosen . SD2fun.diri . SD2fun.gam . coef.MLEce . computeTime . cor_method . dBiGam . dBiWei . delta_score_probit . flood . fossil_pollen . gof . llk . plot.MLEce . rBiGam . rBiWei . stbz . summary.MLEce . 
Some associated R codes: BiGam.R . Biwei1.R . Dirichlet.R . MLEce.R .  Full MLEce package functions and examples
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