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reservr: Fit Distributions and Neural Networks to Censored and TruncatedData

Define distribution families and fit them to interval-censored and interval-truncated data, where the truncation bounds may depend on the individual observation. The defined distributions feature density, probability, sampling and fitting methods as well as efficient implementations of the log-density log f(x) and log-probability log P(x0 <= X <= x1) for use in 'TensorFlow' neural networks via the 'tensorflow' package. Allows training parametric neural networks on interval-censored and interval-truncated data with flexible parameterization. Applications include Claims Development in Non-Life Insurance, e.g. modelling reporting delay distributions from incomplete data, see Bücher, Rosenstock (2022) <doi:10.1007/s13385-022-00314-4>.

Version:0.0.3
Depends:R (≥ 3.5)
Imports:assertthat (≥ 0.2.1),generics,glue (≥ 1.3.1),keras3,matrixStats,nloptr,numDeriv,purrr (≥ 0.3.3),R6 (≥ 2.4.1),Rcpp,RcppParallel,rlang (≥ 0.4.5), stats, utils
LinkingTo:BH,Rcpp,RcppArmadillo,RcppParallel
Suggests:covr,callr,colorspace,data.table,dplyr (≥ 0.8.4),evmix,fitdistrplus (≥ 1.0.14),flextable (≥ 0.5.8),formattable (≥0.2.0.1),furrr (≥ 0.1.0),ggplot2 (≥ 3.2.1),ggridges (≥0.5.2),knitr (≥ 1.28),logKDE (≥ 0.3.2),officer (≥ 0.3.7),patchwork (≥ 1.0.0),reticulate,rmarkdown (≥ 2.1),rstudioapi,tensorflow (≥ 2.0.0),testthat (≥ 2.1.0),tidyr (≥ 1.0.2),tibble,bench,survival,rticles,bookdown
Published:2024-06-24
DOI:10.32614/CRAN.package.reservr
Author:Alexander Rosenstock [aut, cre, cph]
Maintainer:Alexander Rosenstock <alexander.rosenstock at web.de>
BugReports:https://github.com/AshesITR/reservr/issues
License:GPL-2 |GPL-3 [expanded from: GPL]
URL:https://ashesitr.github.io/reservr/,https://github.com/AshesITR/reservr
NeedsCompilation:yes
SystemRequirements:GNU make
Materials:README,NEWS
In views:Distributions
CRAN checks:reservr results

Documentation:

Reference manual:reservr.html ,reservr.pdf
Vignettes:Working with Distributions (source,R code)
Fitting Distributions and Neural Networks to Censored and Truncated Data: The R Package reservr (source,R code)
TensorFlow Integration (source,R code)

Downloads:

Package source: reservr_0.0.3.tar.gz
Windows binaries: r-devel:reservr_0.0.3.zip, r-release:reservr_0.0.3.zip, r-oldrel:reservr_0.0.3.zip
macOS binaries: r-release (arm64):reservr_0.0.3.tgz, r-oldrel (arm64):reservr_0.0.3.tgz, r-release (x86_64):reservr_0.0.3.tgz, r-oldrel (x86_64):reservr_0.0.3.tgz
Old sources: reservr archive

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