fitdistrplus: An R Package for Fitting Distributions. The package fitdistrplus provides functions for fitting univariate distributions to different types of data (continuous censored or non-censored data and discrete data) and allowing different estimation methods (maximum likelihood, moment matching, quantile matching and maximum goodness-of-fit estimation). Outputs of fitdist and fitdistcens functions are S3 objects, for which specific methods are provided, including summary, plot and quantile. This package also provides various functions to compare the fit of several distributions to the same data set and can handle to bootstrap parameter estimates. Detailed examples are given in food risk assessment, ecotoxicology and insurance contexts.

References in zbMATH (referenced in 27 articles , 1 standard article )

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  1. Combes, Catherine; Ng, Hon Keung Tony: On parameter estimation for amoroso family of distributions (2022)
  2. Ma, Zhuanzhuan; Park, Chanseok; Wang, Min: A robust bootstrap control chart for the log-logistic percentiles (2022)
  3. Avanzi, Benjamin; Taylor, Greg; Wang, Melantha; Wong, Bernard: \textttSynthETIC: an individual insurance claim simulator with feature control (2021)
  4. Riva-Palacio, Alan; Leisen, Fabrizio: Compound vectors of subordinators and their associated positive Lévy copulas (2021)
  5. Rozgonyi-Boissinot, Nikoletta; Buocz, Ildikó; Hatvani, István Gábor; Török, Ákos: Shear strength testing of consolidated claystones: breakpoint detection of shear stress versus shear displacement curves, a statistical approach (2021)
  6. Gzara, Fatma; Elhedhli, Samir; Yildiz, Burak C.: The pallet loading problem: three-dimensional bin packing with practical constraints (2020)
  7. Justine Lequesne, Philippe Regnault: vsgoftest: An R Package for Goodness-of-Fit Testing Based on Kullback-Leibler Divergence (2020) not zbMATH
  8. Lehtomaa, Jaakko; Resnick, Sidney I.: Asymptotic independence and support detection techniques for heavy-tailed multivariate data (2020)
  9. Shamloo, Farzin; Hélie, Sébastien: A study of individual differences in categorization with redundancy (2020)
  10. Tomarchio, Salvatore D.; Punzo, Antonio: Dichotomous unimodal compound models: application to the distribution of insurance losses (2020)
  11. Sevilimedu, Varadan; Yu, Lili; Samawi, Hani; Rochani, Haresh: Application of the misclassification simulation extrapolation procedure to log-logistic accelerated failure time models in survival analysis (2019)
  12. González-Estrada, E.; Villaseñor, J. A.: An R package for testing goodness of fit: goft (2018)
  13. Joe Thorley, Carl Schwarz: ssdtools: An R package to fit Species Sensitivity Distributions (2018) not zbMATH
  14. Johannes Signer, John Fieberg, Tal Avgar: Animal Movement Tools (amt): R-Package for Managing Tracking Data and Conducting Habitat Selection Analyses (2018) arXiv
  15. Punzo, Antonio; Bagnato, Luca; Maruotti, Antonello: Compound unimodal distributions for insurance losses (2018)
  16. Snider, Joseph: Indistinguishable synapses lead to sparse networks (2018)
  17. Wu, Chien-Wei; Shu, Ming-Hung; Chang, Yu-Ning: Variable-sampling plans based on lifetime-performance index under exponential distribution with censoring and its extensions (2018)
  18. Camilo Jose Torres-Jimenez, Alvaro Mauricio Montenegro Diaz: An alternative to continuous univariate distributions supported on a bounded interval: The BMT distribution (2017) arXiv
  19. Kashif, Muhammad; Aslam, Muhammad; Jun, Chi-Hyuck; Al-Marshadi, Ali Hussein; Srinivasa Rao, G.: The efficacy of process capability indices using median absolute deviation and their bootstrap confidence intervals (2017)
  20. Shah, Muhammad Kashif Ali; Lisawadi, Supranee; Ahmed, S. Ejaz: Combining reliability functions of a Weibull distribution (2017)

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