EstimationTools
4.3.1Maximum Likelihood Estimation for Probability Functions from Data Sets
Overview
Total Time on Test plot and routines for parameter estimation of any lifetime distribution implemented in R via maximum likelihood (ML) given a data set. It is implemented thinking on parametric survival analysis, but it feasible to use in parameter estimation of probability density or mass functions in any field. The main routines 'maxlogL' and 'maxlogLreg' are wrapper functions specifically developed for ML estimation. There are included optimization procedures such as 'nlminb' and 'optim' from base package, and 'DEoptim' Mullen (2011) doi:10.18637/jss.v040.i06. Standard errors are estimated with 'numDeriv' Gilbert (2011) https://CRAN.R-project.org/package=numDeriv or the option 'Hessian = TRUE' of 'optim' function.
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- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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7 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 4.3.1Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 4.0.02022-12-10 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 2.1.02021-03-10 · diff ↗
- 2.0.02020-08-03 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.2.12019-10-24 · diff ↗
- 1.2.02019-06-11 · diff ↗
- 1.1.02019-06-06
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-06-06
- Total releases
- 7 / 7 yrs
- License
- GPL-3 OSI
- Download size
- 437 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet