Fit Distributions and Neural Networks to Censored and Truncated Data R package reservr version 0.0.3 CRAN Task View: Distributions (https://CRAN.R-project.org/view=Distributions) 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>. Software 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 Alexander Rosenstock <alexander.rosenstock@web.de> Comprehensive R Archive Network (CRAN) Alexander Rosenstock [aut, cre, cph] GPL 2024-06-24 application/tgz https://CRAN.R-project.org/package=reservr doi:10.32614/CRAN.package.reservr