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reservr

0.0.3

Fit Distributions and Neural Networks to Censored and Truncated Data

0packages depend
7.6Kdownloads / year
82.0%test coverage
13/13checks pass

Overview

About
Maintained by Alexander RosenstockFirst published 2022-12-093 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 15.4 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.20
82.0%
Coverage · measured lines
100%
Documentation · exports
14
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 215 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
96%
Return-value docs
98%
References docs
4%

Downloads

7.6K
CRAN downloads in the past year
Rank #5,745 · ~21/day · ~633/mo
Daily download trend is not available in this view yet.
27730 days
1.4K90 days
7.6K1 year
Compare downloads with other packages →
Also on426 r2u26 autocran

Repository

Repository
5Stars
0Forks
1Open issues
0Open PRs
3Releases
196Commits
3Contributors
196 commits · Last activity 2024-06-25 · 0% stars, 30d

Stars over time

2024-10-31 · 42026-07-07 · 5

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/ashesitr/reservr on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Lint, format, editor (2)
lintrRStudio project
Coverage (1)
Codecov
Show all practices
Governance and community (1)
Issue templates
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.0.3Latest
    2024-06-24 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.0.2
    2023-10-18 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.0.1
    2022-12-09
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-12-09
Total releases
3 / 4 yrs
License
GPL
Minimum R
≥ 3.5
Download size
696 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("reservr")
Rosenstock, A. (2024). reservr: Fit Distributions and Neural Networks to Censored and Truncated Data (Version 0.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.reservr

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for reservr version 0.0.3 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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