EstimationTools: Maximum Likelihood Estimation for Probability Functions from Data Sets

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.

Version: 4.0.0
Depends: R (≥ 3.5.0), survival, DEoptim, BBmisc, GA, gaussquad
Imports: Rdpack, utils, stats, numDeriv, boot, autoimage, graphics, stringr
Suggests: gamlss.dist, knitr, rmarkdown, AdequacyModel, readr, covr, testthat (≥ 3.0.0), vdiffr, spelling, lifecycle, matrixStats, lintr, V8
Published: 2022-12-10
Author: Jaime Mosquera ORCID iD [aut, cre], Freddy Hernandez ORCID iD [ctb]
Maintainer: Jaime Mosquera <jmosquerag at unal.edu.co>
BugReports: https://github.com/Jaimemosg/EstimationTools/issues
License: GPL-3
URL: https://jaimemosg.github.io/EstimationTools/, https://github.com/Jaimemosg/EstimationTools
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: EstimationTools results

Documentation:

Reference manual: EstimationTools.pdf
Vignettes: Bootstrap implementation
Estimation with 'maxlogL' objects

Downloads:

Package source: EstimationTools_4.0.0.tar.gz
Windows binaries: r-devel: EstimationTools_4.0.0.zip, r-release: EstimationTools_4.0.0.zip, r-oldrel: EstimationTools_4.0.0.zip
macOS binaries: r-release (arm64): EstimationTools_4.0.0.tgz, r-oldrel (arm64): EstimationTools_4.0.0.tgz, r-release (x86_64): EstimationTools_4.0.0.tgz
Old sources: EstimationTools archive

Reverse dependencies:

Reverse depends: RelDists

Linking:

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