ReSurv

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / ReSurv

ReSurv

v1.1.0

ReSurv

Repository CRANLicense GPL (>= 2)Lifecycle activeNeeds compilation no

Package page Reference Source DOI README

DOI

10.32614/CRAN.package.ReSurv

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

표시할 핵심 신호가 없습니다.

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

data.table

Imports

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

1.1.0

License

GPL (>= 2)

Lifecycle

active

Needs compilation

Last observed

2026-09-17

CRAN: cran.r-project.org/package=ReSurv

수집 소스별 패키지 정보

1개 소스

CRAN

1.1.0

2026-09-17

License

GPL (>= 2)

Depends

R (>= 4.1.0)

Imports

stats, dplyr (>= 1.1.0), actuar, fastDummies, data.table, purrr, tidyr, ggplot2, lubridate, survival, SynthETIC, xgboost

Suggests

bshazard, clmplus, knitr, torch, rmarkdown, rpart, testthat (>= 3.0.0)

Needs compilation

Lifecycle

active

Last observed

2026-09-17 04:07:44

이 패키지가 의존하는 패키지

5개 표시전체 28개

Package	Type	Spec
tidyverse CRAN · 1.0.0 · 2026-09-14	Depends	tidyverse
actuar CRAN · 1.1.0 · 2026-09-19	Imports	actuar
bshazard CRAN · 1.0.0 · 2026-09-14	Imports	bshazard
data.table CRAN · 1.1.0 · 2026-09-19	Imports	data.table
dplyr CRAN · 1.1.0 · 2026-09-19	Imports	dplyr (>= 1.1.0)
dtplyr CRAN · 1.0.0 · 2026-09-14	Imports	dtplyr
fastDummies CRAN · 1.1.0 · 2026-09-19	Imports	fastDummies
forecast CRAN · 1.0.0 · 2026-09-14	Imports	forecast
ggplot2 CRAN · 1.1.0 · 2026-09-19	Imports	ggplot2
lubridate CRAN · 1.1.0 · 2026-09-19	Imports	lubridate
purrr CRAN · 1.1.0 · 2026-09-19	Imports	purrr
reshape2 CRAN · 1.0.0 · 2026-09-14	Imports	reshape2
reticulate CRAN · 1.0.0 · 2026-09-14	Imports	reticulate
rpart CRAN · 1.0.0 · 2026-09-14	Imports	rpart
SHAPforxgboost CRAN · 1.0.0 · 2026-09-14	Imports	SHAPforxgboost
stats CRAN · 1.1.0 · 2026-09-19	Imports	stats
survival CRAN · 1.1.0 · 2026-09-19	Imports	survival
SynthETIC CRAN · 1.1.0 · 2026-09-19	Imports	SynthETIC
tibble CRAN · 1.0.0 · 2026-09-14	Imports	tibble
tidyr CRAN · 1.1.0 · 2026-09-19	Imports	tidyr
xgboost CRAN · 1.1.0 · 2026-09-19	Imports	xgboost
bshazard CRAN · 1.1.0 · 2026-09-19	Suggests	bshazard
clmplus CRAN · 1.1.0 · 2026-09-19	Suggests	clmplus
knitr CRAN · 1.1.0 · 2026-09-19	Suggests	knitr
rmarkdown CRAN · 1.1.0 · 2026-09-19	Suggests	rmarkdown
rpart CRAN · 1.1.0 · 2026-09-19	Suggests	rpart
testthat CRAN · 1.1.0 · 2026-09-19	Suggests	testthat (>= 3.0.0)
torch CRAN · 1.1.0 · 2026-09-19	Suggests	torch
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1 / 6

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0개 표시전체 0개

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패키지 페이지

All links

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]

https://orcid.org/0000-0003-3360-5826 https://orcid.org/0000-0001-5846-667X

Maintainer

Emil Hofman <emil_hofman at hotmail.dk>

BugReports

https://github.com/edhofman/ReSurv/issues

License

GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

GPL-2 GPL-3

URL

https://github.com/edhofman/ReSurv

NeedsCompilation

SystemRequirements

Python (>= 3.8.0)

Materials

README

CRAN Checks

ReSurv results

Reference Manual

ReSurv.html , ReSurv.pdf

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 )

A Machine Learning Approach Based On Survival Analysis For IBNR Frequencies In N...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

ReSurv_1.0.0.zip ReSurv_1.0.0.zip 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

ReSurv_1.0.0.tgz ReSurv_1.0.0.tgz ReSurv_1.0.0.tgz ReSurv_1.0.0.tgz

Page sections 3

Documentation

Heading

Documentation

Links

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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

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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

README

Documentation 17

ReSurv.html ReSurv.pdf 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

Vignettes 15