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reservr
View on CRAN: Click
here
Download and install reservr package within the R console
Install from CRAN:
install.packages("reservr")
Install from Github:
library("remotes")
install_github("cran/reservr")
Install by package version:
library("remotes")
install_version("reservr", "0.0.3")
Attach the package and use:
library("reservr")
Maintained by
Alexander Rosenstock
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.reservr . https://github.com/AshesITR/reservr/issues . https://ashesitr.github.io/reservr/ . https://github.com/AshesITR/reservr . reservr results . reservr.pdf . Fitting Distributions and Neural Networks to Censored and Truncated Data: The R Package reservr . reservr_0.0.3.tar.gz . reservr_0.0.3.zip . reservr_0.0.3.zip . reservr_0.0.3.zip . reservr_0.0.3.tgz . reservr_0.0.3.tgz . reservr_0.0.3.tgz . reservr_0.0.3.tgz . reservr_0.0.3.tgz . reservr_0.0.3.tgz . reservr archive . https://CRAN.R-project.org/package=reservr .
First Published: 2022-12-09
Latest Update: 2023-10-18
Description:
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 B
How to cite:
Alexander Rosenstock (2022). reservr: Fit Distributions and Neural Networks to Censored and Truncated Data. R package version 0.0.3, https://cran.r-project.org/web/packages/reservr. Accessed 26 Mar. 2025.
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Other R packages that reservr depends,
imports, suggests or enhances
Complete documentation for reservr
Functions, R codes and Examples using
the reservr R package
Some associated functions: Distribution . GenPareto . Pareto . as_params . blended_transition . callback_adaptive_lr . callback_debug_dist_gradients . dist_bdegp . dist_beta . dist_binomial . dist_blended . dist_dirac . dist_discrete . dist_empirical . dist_erlangmix . dist_exponential . dist_gamma . dist_genpareto . dist_lognormal . dist_mixture . dist_negbinomial . dist_normal . dist_pareto . dist_poisson . dist_translate . dist_trunc . dist_uniform . dist_weibull . fit.reservr_keras_model . fit_blended . fit_dist . fit_dist_start . fit_erlang_mixture . fit_mixture . flatten_params . integrate_gk . interval-operations . interval . is.Distribution . k_matrix . plot_distributions . predict.reservr_keras_model . prob_report . quantile.Distribution . reexports . softmax . tf_compile_model . tf_initialise_model . trunc_obs . truncate_claims . weighted_moments . weighted_quantile . weighted_tabulate .
Some associated R codes: RcppExports.R . aaa.R . blended_transition.R . callback_adaptive_lr.R . callback_debug_dist_gradients.R . check_lengths.R . compiler.R . dist_bdegp.R . dist_beta.R . dist_binomial.R . dist_blended.R . dist_dirac.R . dist_discrete.R . dist_empirical.R . dist_erlangmix.R . dist_exponential.R . dist_gamma.R . dist_genpareto.R . dist_lognormal.R . dist_mixture.R . dist_negbinomial.R . dist_normal.R . dist_pareto.R . dist_poisson.R . dist_translate.R . dist_trunc.R . dist_uniform.R . dist_weibull.R . distribution_class.R . distribution_generics.R . distribution_methods.R . fit_blended.R . fit_erlang_mixture.R . fit_mixture.R . fit_util.R . flatten_params.R . gpd.R . integrate.R . interval.R . pareto.R . plot_distributions.R . prob_report.R . reservr-package.R . softmax.R . tf_compile.R . tf_compile_loss.R . tf_constants.R . tf_fit.R . tf_initialise.R . tf_util.R . trunc_erlangmix_init.R . trunc_obs.R . truncate_claims.R . weighted_stats.R . zzz.R . Full reservr package functions and examples
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