survML

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / survML

survML

v1.2.0

survML

Repository CRANLicense GPL (>= 3)Lifecycle activeNeeds compilation no

Package page Reference Source DOI README NEWS

DOI

10.32614/CRAN.package.survML

Reverse imports

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

Reverse imports

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

1.2.0

License

GPL (>= 3)

Lifecycle

active

Needs compilation

Reverse imports

Last observed

2026-05-30

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

수집 소스별 패키지 정보

1개 소스

CRAN

1.2.0

2026-05-30

License

GPL (>= 3)

Depends

SuperLearner (>= 2.0.28),

Imports

Iso (>= 0.0.18.1), haldensify (>= 0.2.3), fdrtool (>= 1.2.17), ChernoffDist (>= 0.1.0), dplyr (>= 1.0.10), gtools (>= 3.9.5), mboost (>= 2.9.0), survival (>= 3.5.0), stats (>= 4.3.2), methods (>= 4.3.2)

Suggests

knitr, rmarkdown, testthat (>= 3.0.0), ggplot2 (>= 3.4.0), gam (>= 1.22.0)

Needs compilation

Reverse imports

Lifecycle

active

Last observed

2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 16개

Package	Type	Spec
SuperLearner CRAN · 1.2.0 · 2026-05-30	Depends	SuperLearner (>= 2.0.28)
ChernoffDist CRAN · 1.2.0 · 2026-05-30	Imports	ChernoffDist (>= 0.1.0)
dplyr CRAN · 1.2.0 · 2026-05-30	Imports	dplyr (>= 1.0.10)
fdrtool CRAN · 1.2.0 · 2026-05-30	Imports	fdrtool (>= 1.2.17)
gtools CRAN · 1.2.0 · 2026-05-30	Imports	gtools (>= 3.9.5)
haldensify CRAN · 1.2.0 · 2026-05-30	Imports	haldensify (>= 0.2.3)
Iso CRAN · 1.2.0 · 2026-05-30	Imports	Iso (>= 0.0.18.1)
mboost CRAN · 1.2.0 · 2026-05-30	Imports	mboost (>= 2.9.0)
methods CRAN · 1.2.0 · 2026-05-30	Imports	methods (>= 4.3.2)
stats CRAN · 1.2.0 · 2026-05-30	Imports	stats (>= 4.3.2)
survival CRAN · 1.2.0 · 2026-05-30	Imports	survival (>= 3.5.0)
gam CRAN · 1.2.0 · 2026-05-30	Suggests	gam (>= 1.22.0)
ggplot2 CRAN · 1.2.0 · 2026-05-30	Suggests	ggplot2 (>= 3.4.0)
knitr CRAN · 1.2.0 · 2026-05-30	Suggests	knitr
rmarkdown CRAN · 1.2.0 · 2026-05-30	Suggests	rmarkdown
testthat CRAN · 1.2.0 · 2026-05-30	Suggests	testthat (>= 3.0.0)
검색 결과가 없습니다.

1 / 4

이 패키지를 쓰는 패키지

1개 표시전체 1개

Package	Type	Spec
vaccine 1.3.1 CRAN · 2026-05-30	Imports	survML (>= 0.0.0.9000)
검색 결과가 없습니다.

1 / 1

Reverse dependency summary

1 types

Type	Packages
Imports	1

패키지 페이지

Reverse imports

All links

Repository: CRAN
Version: 1.2.0
Collected: 2026-05-19 03:35:17
Package page: https://cran.r-project.org/web/packages/survML/index.html
DOI: 10.32614/CRAN.package.survML
CRAN checks: https://cran.r-project.org/web/checks/check_results_survML.html
README: https://cran.r-project.org/web/packages/survML/readme/README.html
NEWS: https://cran.r-project.org/web/packages/survML/news/news.html
Reference HTML: https://cran.r-project.org/web/packages/survML/refman/survML.html
Reference PDF: https://cran.r-project.org/web/packages/survML/survML.pdf
Source package: https://cran.r-project.org/src/contrib/survML_1.2.0.tar.gz
Archive: https://CRAN.R-project.org/src/contrib/Archive/survML

Page fields

Author: Charles Wolock [aut, cre, cph], Avi Kenny [ctb]
BugReports: https://github.com/cwolock/survML/issues
CRAN Checks: survML results
DOI: 10.32614/CRAN.package.survML
License: GPL (≥ 3)
Maintainer: Charles Wolock <cwolock at gmail.com>
Materials: README , NEWS
NeedsCompilation: no
Old Sources: survML archive
Package Source: survML_1.2.0.tar.gz
Published: 2024-10-31
Reference Manual: survML.html , survML.pdf
Reverse Imports: vaccine
URL: https://github.com/cwolock/survML , https://cwolock.github.io/survML/
Version: 1.2.0
Vignettes: Estimating a conditional survival function using off-the-shelf machine learning tools ( source , R code ) Estimating a covariate-adjusted survival function using current status data ( source , R code ) Assessing variable importance in survival analysis using machine learning ( source , R code )
Windows Binaries: r-devel: survML_1.2.0.zip , r-release: survML_1.2.0.zip , r-oldrel: survML_1.2.0.zip
MacOS Binaries: r-release (arm64): survML_1.2.0.tgz , r-oldrel (arm64): survML_1.2.0.tgz , r-release (x86_64): survML_1.2.0.tgz , r-oldrel (x86_64): survML_1.2.0.tgz

Version

1.2.0

Published

2024-10-31

DOI

10.32614/CRAN.package.survML

Author

Charles Wolock [aut, cre, cph], Avi Kenny [ctb]

https://orcid.org/0000-0003-3527-1102 https://orcid.org/0000-0002-9465-7307

Maintainer

Charles Wolock <cwolock at gmail.com>

BugReports

https://github.com/cwolock/survML/issues

License

GPL (≥ 3)

URL

https://github.com/cwolock/survML , https://cwolock.github.io/survML/

https://github.com/cwolock/survML https://cwolock.github.io/survML/

NeedsCompilation

Materials

README , NEWS

README NEWS

CRAN Checks

survML results

Reference Manual

survML.html , survML.pdf

survML.html survML.pdf

Vignettes

Estimating a conditional survival function using off-the-shelf machine learning tools ( source , R code ) Estimating a covariate-adjusted survival function using current status data ( source , R code ) Assessing variable importance in survival analysis using machine learning ( source , R code )

Estimating a conditional survival function using off-the-shelf machine learning ...source R code Estimating a covariate-adjusted survival function using current status data source R code Assessing variable importance in survival analysis using machine learning source R code

Package Source

survML_1.2.0.tar.gz

Windows Binaries

r-devel: survML_1.2.0.zip , r-release: survML_1.2.0.zip , r-oldrel: survML_1.2.0.zip

survML_1.2.0.zip survML_1.2.0.zip survML_1.2.0.zip

MacOS Binaries

r-release (arm64): survML_1.2.0.tgz , r-oldrel (arm64): survML_1.2.0.tgz , r-release (x86_64): survML_1.2.0.tgz , r-oldrel (x86_64): survML_1.2.0.tgz

survML_1.2.0.tgz survML_1.2.0.tgz survML_1.2.0.tgz survML_1.2.0.tgz

Old Sources

survML archive

Reverse Imports

vaccine

Page sections 4

Documentation

Heading

Documentation

Links

[{"label":"survML.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/survML/refman/survML.html"},{"label":"survML.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/survML/survML.pdf"},{"label":"Estimating a conditional survival function using off-the-shelf machine learning tools","section":"","type":"","url":"https://cran.r-project.org/web/packages/survML/vignettes/conditional_survival.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/survML/vignettes/conditional_survival.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/survML/vignettes/conditional_survival.R"},{"label":"Estimating a covariate-adjusted survival function using current status data","section":"","type":"","url":"https://cran.r-project.org/web/packages/survML/vignettes/current_status.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/survML/vignettes/current_status.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/survML/vignettes/current_status.R"},{"label":"Assessing variable importance in survival analysis using machine learning","section":"","type":"","url":"https://cran.r-project.org/web/packages/survML/vignettes/variable_importance.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/survML/vignettes/variable_importance.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/survML/vignettes/variable_importance.R"}]

Text

Reference manual: survML.html , survML.pdf Vignettes: Estimating a conditional survival function using off-the-shelf machine learning tools ( source , R code ) Estimating a covariate-adjusted survival function using current status data ( source , R code ) Assessing variable importance in survival analysis using machine learning ( source , R code )

Downloads

Heading

Downloads

Links

[{"label":"survML_1.2.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/survML_1.2.0.tar.gz"},{"label":"survML_1.2.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/survML_1.2.0.zip"},{"label":"survML_1.2.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/survML_1.2.0.zip"},{"label":"survML_1.2.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/survML_1.2.0.zip"},{"label":"survML_1.2.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/survML_1.2.0.tgz"},{"label":"survML_1.2.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/survML_1.2.0.tgz"},{"label":"survML_1.2.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/survML_1.2.0.tgz"},{"label":"survML_1.2.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/survML_1.2.0.tgz"},{"label":"survML archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/survML"}]

Text

Package source: survML_1.2.0.tar.gz Windows binaries: r-devel: survML_1.2.0.zip , r-release: survML_1.2.0.zip , r-oldrel: survML_1.2.0.zip macOS binaries: r-release (arm64): survML_1.2.0.tgz , r-oldrel (arm64): survML_1.2.0.tgz , r-release (x86_64): survML_1.2.0.tgz , r-oldrel (x86_64): survML_1.2.0.tgz Old sources: survML archive

Reverse dependencies

Heading

Reverse dependencies

Links

[{"label":"vaccine","section":"","type":"","url":"https://cran.r-project.org/web/packages/vaccine/index.html"}]

Text

Reverse imports: vaccine

Linking

Heading

Linking

Links

[{"label":"https://CRAN.R-project.org/package=survML","section":"","type":"","url":"https://CRAN.R-project.org/package=survML"}]

Text

Please use the canonical form https://CRAN.R-project.org/package=survML to link to this page.

Materials 2

README NEWS

Documentation 11

survML.html survML.pdf Estimating a conditional survival function using off-the-shelf machine learning tools source R code Estimating a covariate-adjusted survival function using current status data source R code Assessing variable importance in survival analysis using machine learning source R code

Vignettes 9

Estimating a conditional survival function using off-the-shelf machine learning tools source R code Estimating a covariate-adjusted survival function using current status data source R code Assessing variable importance in survival analysis using machine learning source R code

Downloads 9

survML_1.2.0.tar.gz survML_1.2.0.zip survML_1.2.0.zip survML_1.2.0.zip survML_1.2.0.tgz survML_1.2.0.tgz survML_1.2.0.tgz survML_1.2.0.tgz survML archive

All page links 48

버전 이력

Repository	Version	Published	First seen	Last seen	Docs
CRAN	1.2.0		2026-05-29	2026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.