ReSurv

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / ReSurv

ReSurv

v1.0.0
Repository CRANLicense GPL (>= 2)Needs compilation no
DOI
10.32614/CRAN.package.ReSurv

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

0
표시할 핵심 신호가 없습니다.

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

2
D
dtplyr
Imports
D
data.table
Imports

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
1.0.0
License
GPL (>= 2)
Needs compilation
no
Last observed
2026-06-23
CRAN
cran.r-project.org/package=ReSurv

수집 소스별 패키지 정보

1개 소스
CRAN
1.0.0
2026-06-23
License
GPL (>= 2)
Depends
tidyverse
Imports
stats, dplyr, dtplyr, fastDummies, forecast, data.table, purrr, tidyr, tibble, ggplot2, survival, reshape2, bshazard, SynthETIC, rpart, reticulate, xgboost, SHAPforxgboost
Suggests
knitr, rmarkdown
Needs compilation
no
Last observed
2026-06-23 19:50:20

이 패키지가 의존하는 패키지

5개 표시전체 21개
PackageTypeSpec
tidyverse
CRAN · 1.0.0 · 2026-06-23
Dependstidyverse
bshazard
CRAN · 1.0.0 · 2026-06-23
Importsbshazard
data.table
CRAN · 1.0.0 · 2026-06-23
Importsdata.table
dplyr
CRAN · 1.0.0 · 2026-06-23
Importsdplyr
dtplyr
CRAN · 1.0.0 · 2026-06-23
Importsdtplyr
1 / 5

이 패키지를 쓰는 패키지

0개 표시전체 0개
PackageTypeSpec
표시할 dependency edge가 없습니다.
1 / 1

패키지 페이지

All links
56
Repository
CRAN
Version
1.0.0
Collected
2026-05-31 22:46:22
Package page
https://cran.r-project.org/web/packages/ReSurv/index.html
DOI
10.32614/CRAN.package.ReSurv
CRAN checks
https://cran.r-project.org/web/checks/check_results_ReSurv.html
README
https://cran.r-project.org/web/packages/ReSurv/readme/README.html
Reference HTML
https://cran.r-project.org/web/packages/ReSurv/refman/ReSurv.html
Reference PDF
https://cran.r-project.org/web/packages/ReSurv/ReSurv.pdf
Source package
https://cran.r-project.org/src/contrib/ReSurv_1.0.0.tar.gz
Page fields
Author
Emil Hofman [aut, cre, cph], Gabriele Pittarello [aut, cph], Munir Hiabu [aut, cph]
BugReports
https://github.com/edhofman/ReSurv/issues
CRAN Checks
ReSurv results
DOI
10.32614/CRAN.package.ReSurv
License
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Maintainer
Emil Hofman <emil_hofman at hotmail.dk>
Materials
README
NeedsCompilation
no
Package Source
ReSurv_1.0.0.tar.gz
Published
2024-11-14
Reference Manual
ReSurv.html , ReSurv.pdf
SystemRequirements
Python (>= 3.8.0)
URL
https://github.com/edhofman/ReSurv
Version
1.0.0
Vignettes
A Machine Learning Approach Based On Survival Analysis For IBNR Frequencies In Non-Life Reserving ( source , R code ) Claim Counts Prediction Using Individual Data ( source , R code ) Hyperparameters Tuning ( source , R code ) Simulate Individual Data ( source , R code ) Exploring The Variables Importance ( source , R code )
Windows Binaries
r-devel: ReSurv_1.0.0.zip , r-release: ReSurv_1.0.0.zip , r-oldrel: ReSurv_1.0.0.zip
MacOS Binaries
r-release (arm64): ReSurv_1.0.0.tgz , r-oldrel (arm64): ReSurv_1.0.0.tgz , r-release (x86_64): ReSurv_1.0.0.tgz , r-oldrel (x86_64): ReSurv_1.0.0.tgz
Version
1.0.0
Published
2024-11-14
DOI
10.32614/CRAN.package.ReSurv
Author
Emil Hofman [aut, cre, cph], Gabriele Pittarello [aut, cph], Munir Hiabu [aut, cph]
Maintainer
Emil Hofman <emil_hofman at hotmail.dk>
BugReports
https://github.com/edhofman/ReSurv/issues
License
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL
https://github.com/edhofman/ReSurv
NeedsCompilation
no
SystemRequirements
Python (>= 3.8.0)
Materials
README
CRAN Checks
ReSurv results
Reference Manual
ReSurv.html , ReSurv.pdf
Vignettes
A Machine Learning Approach Based On Survival Analysis For IBNR Frequencies In Non-Life Reserving ( source , R code ) Claim Counts Prediction Using Individual Data ( source , R code ) Hyperparameters Tuning ( source , R code ) Simulate Individual Data ( source , R code ) Exploring The Variables Importance ( source , R code )
Package Source
ReSurv_1.0.0.tar.gz
Windows Binaries
r-devel: ReSurv_1.0.0.zip , r-release: ReSurv_1.0.0.zip , r-oldrel: ReSurv_1.0.0.zip
MacOS Binaries
r-release (arm64): ReSurv_1.0.0.tgz , r-oldrel (arm64): ReSurv_1.0.0.tgz , r-release (x86_64): ReSurv_1.0.0.tgz , r-oldrel (x86_64): ReSurv_1.0.0.tgz
Page sections 3
Documentation
Heading
Documentation
Links
[{"label":"ReSurv.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/refman/ReSurv.html"},{"label":"ReSurv.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/ReSurv.pdf"},{"label":"A Machine Learning Approach Based On Survival Analysis For IBNR Frequencies In Non-Life Reserving","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/vignettes/Manuscript_replication_material.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/vignettes/Manuscript_replication_material.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/vignettes/Manuscript_replication_material.R"},{"label":"Claim Counts Prediction Using Individual Data","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/vignettes/cas_call.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/vignettes/cas_call.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/vignettes/cas_call.R"},{"label":"Hyperparameters Tuning","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/vignettes/hp_tuning.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/vignettes/hp_tuning.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/vignettes/hp_tuning.R"},{"label":"Simulate Individual Data","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/vignettes/simulate_individual_data.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/vignettes/simulate_individual_data.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/vignettes/simulate_individual_data.R"},{"label":"Exploring The Variables Importance","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/vignettes/variables_importance.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/vignettes/variables_importance.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ReSurv/vignettes/variables_importance.R"}]
Text
Reference manual: ReSurv.html , ReSurv.pdf Vignettes: A Machine Learning Approach Based On Survival Analysis For IBNR Frequencies In Non-Life Reserving ( source , R code ) Claim Counts Prediction Using Individual Data ( source , R code ) Hyperparameters Tuning ( source , R code ) Simulate Individual Data ( source , R code ) Exploring The Variables Importance ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"ReSurv_1.0.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/ReSurv_1.0.0.tar.gz"},{"label":"ReSurv_1.0.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/ReSurv_1.0.0.zip"},{"label":"ReSurv_1.0.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/ReSurv_1.0.0.zip"},{"label":"ReSurv_1.0.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/ReSurv_1.0.0.zip"},{"label":"ReSurv_1.0.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/ReSurv_1.0.0.tgz"},{"label":"ReSurv_1.0.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/ReSurv_1.0.0.tgz"},{"label":"ReSurv_1.0.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/ReSurv_1.0.0.tgz"},{"label":"ReSurv_1.0.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/ReSurv_1.0.0.tgz"}]
Text
Package source: ReSurv_1.0.0.tar.gz Windows binaries: r-devel: ReSurv_1.0.0.zip , r-release: ReSurv_1.0.0.zip , r-oldrel: ReSurv_1.0.0.zip macOS binaries: r-release (arm64): ReSurv_1.0.0.tgz , r-oldrel (arm64): ReSurv_1.0.0.tgz , r-release (x86_64): ReSurv_1.0.0.tgz , r-oldrel (x86_64): ReSurv_1.0.0.tgz
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=ReSurv","section":"","type":"","url":"https://CRAN.R-project.org/package=ReSurv"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=ReSurv to link to this page.
Materials 1
Documentation 17
Vignettes 15
Downloads 8
All page links 56

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN1.0.02026-06-012026-06-23

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.