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.
- Version4.0.0
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- Last release12/10/2022
Documentation
Team
Jaime Mosquera
Freddy Hernandez
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- Depends5 packages
- Imports5 packages
- Suggests13 packages
- Reverse Depends1 package