CRAN/E | EstimationTools

EstimationTools

Maximum Likelihood Estimation for Probability Functions from Data Sets

Installation

About

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) or the option 'Hessian = TRUE' of 'optim' function.

jaimemosg.github.io/EstimationTools/
github.com/Jaimemosg/EstimationTools
Bug report File report

Key Metrics

Version 4.0.0
R ≥ 3.5.0
Published 2022-12-10 500 days ago
Needs compilation? no
License GPL-3
CRAN checks EstimationTools results
Language en-US

Downloads

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Maintainer

Maintainer

Jaime Mosquera

jmosquerag@unal.edu.co

Authors

Jaime Mosquera

aut / cre

Freddy Hernandez

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

Bootstrap implementation
Estimation with 'maxlogL' objects

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

EstimationTools archive

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