MLEce
2.1.0Asymptotic Efficient Closed-Form Estimators for Multivariate Distributions
Overview
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.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 94%
- Return-value docs
- 83%
- References docs
- 45%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 3.0 median / 22 max
Test coverage
Line coverage
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Expression
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Tests / Examples
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Functions
32 6 exported
Complexity
4.1 avg / 22 max
Call network
32 nodes / 44 edges
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Datasets
| Name | Class | Rows × Cols | Also ships in |
|---|---|---|---|
| flood | data.frame | 77 × 2 | – |
| fossil_pollen | data.frame | 73 × 4 | – |
People & History
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Package metadata
- First published
- 2022-11-11
- Total releases
- 4 / 4 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 4.2.0
- Bundled data
- 4.0 KB / 2 files
- Download size
- 19 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet