reservr

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / reservr

reservr

v0.0.3

reservr

Repository CRANLicense GPLLifecycle activeNeeds compilation yes

Package page Reference Source DOI README NEWS

DOI

10.32614/CRAN.package.reservr

Task views

Probability Distributions

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

Task views

Probability Distributions

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

data.table

Suggests

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

0.0.3

License

GPL

Lifecycle

active

Needs compilation

yes

Last observed

2026-05-30

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

Build fields

LinkingTo

BHRcppRcppArmadilloRcppParallel

수집 소스별 패키지 정보

1개 소스

CRAN

0.0.3

2026-05-30

License

GPL

Depends

R (>= 3.5)

Imports

assertthat (>= 0.2.1), generics, glue (>= 1.3.1), keras3, matrixStats, nloptr, numDeriv, purrr (>= 0.3.3), R6 (>= 2.4.1), Rcpp, RcppParallel, rlang (>= 0.4.5), stats, utils

Suggests

covr, callr, colorspace, data.table, dplyr (>= 0.8.4), evmix, fitdistrplus (>= 1.0.14), flextable (>= 0.5.8), formattable (>= 0.2.0.1), furrr (>= 0.1.0), ggplot2 (>= 3.2.1), ggridges (>= 0.5.2), knitr (>= 1.28), logKDE (>= 0.3.2), officer (>= 0.3.7), patchwork (>= 1.0.0), reticulate, rmarkdown (>= 2.1), rstudioapi, tensorflow (>= 2.0.0), testthat (>= 2.1.0), tidyr (>= 1.0.2), tibble, bench, survival, rticles, bookdown

LinkingTo

BH, Rcpp, RcppArmadillo, RcppParallel

Needs compilation

yes

Lifecycle

active

Last observed

2026-05-30 10:45:11

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5개 표시전체 45개

Package	Type	Spec
assertthat CRAN · 0.0.3 · 2026-05-30	Imports	assertthat (>= 0.2.1)
generics CRAN · 0.0.3 · 2026-05-30	Imports	generics
glue CRAN · 0.0.3 · 2026-05-30	Imports	glue (>= 1.3.1)
keras3 CRAN · 0.0.3 · 2026-05-30	Imports	keras3
matrixStats CRAN · 0.0.3 · 2026-05-30	Imports	matrixStats
nloptr CRAN · 0.0.3 · 2026-05-30	Imports	nloptr
numDeriv CRAN · 0.0.3 · 2026-05-30	Imports	numDeriv
purrr CRAN · 0.0.3 · 2026-05-30	Imports	purrr (>= 0.3.3)
R6 CRAN · 0.0.3 · 2026-05-30	Imports	R6 (>= 2.4.1)
Rcpp CRAN · 0.0.3 · 2026-05-30	Imports	Rcpp
RcppParallel CRAN · 0.0.3 · 2026-05-30	Imports	RcppParallel
rlang CRAN · 0.0.3 · 2026-05-30	Imports	rlang (>= 0.4.5)
stats CRAN · 0.0.3 · 2026-05-30	Imports	stats
utils CRAN · 0.0.3 · 2026-05-30	Imports	utils
BH CRAN · 0.0.3 · 2026-05-30	LinkingTo	BH
Rcpp CRAN · 0.0.3 · 2026-05-30	LinkingTo	Rcpp
RcppArmadillo CRAN · 0.0.3 · 2026-05-30	LinkingTo	RcppArmadillo
RcppParallel CRAN · 0.0.3 · 2026-05-30	LinkingTo	RcppParallel
bench CRAN · 0.0.3 · 2026-05-30	Suggests	bench
bookdown CRAN · 0.0.3 · 2026-05-30	Suggests	bookdown
callr CRAN · 0.0.3 · 2026-05-30	Suggests	callr
colorspace CRAN · 0.0.3 · 2026-05-30	Suggests	colorspace
covr CRAN · 0.0.3 · 2026-05-30	Suggests	covr
data.table CRAN · 0.0.3 · 2026-05-30	Suggests	data.table
dplyr CRAN · 0.0.3 · 2026-05-30	Suggests	dplyr (>= 0.8.4)
evmix CRAN · 0.0.3 · 2026-05-30	Suggests	evmix
fitdistrplus CRAN · 0.0.3 · 2026-05-30	Suggests	fitdistrplus (>= 1.0.14)
flextable CRAN · 0.0.3 · 2026-05-30	Suggests	flextable (>= 0.5.8)
formattable CRAN · 0.0.3 · 2026-05-30	Suggests	formattable (>= 0.2.0.1)
furrr CRAN · 0.0.3 · 2026-05-30	Suggests	furrr (>= 0.1.0)
ggplot2 CRAN · 0.0.3 · 2026-05-30	Suggests	ggplot2 (>= 3.2.1)
ggridges CRAN · 0.0.3 · 2026-05-30	Suggests	ggridges (>= 0.5.2)
knitr CRAN · 0.0.3 · 2026-05-30	Suggests	knitr (>= 1.28)
logKDE CRAN · 0.0.3 · 2026-05-30	Suggests	logKDE (>= 0.3.2)
officer CRAN · 0.0.3 · 2026-05-30	Suggests	officer (>= 0.3.7)
patchwork CRAN · 0.0.3 · 2026-05-30	Suggests	patchwork (>= 1.0.0)
reticulate CRAN · 0.0.3 · 2026-05-30	Suggests	reticulate
rmarkdown CRAN · 0.0.3 · 2026-05-30	Suggests	rmarkdown (>= 2.1)
rstudioapi CRAN · 0.0.3 · 2026-05-30	Suggests	rstudioapi
rticles CRAN · 0.0.3 · 2026-05-30	Suggests	rticles
survival CRAN · 0.0.3 · 2026-05-30	Suggests	survival
tensorflow CRAN · 0.0.3 · 2026-05-30	Suggests	tensorflow (>= 2.0.0)
testthat CRAN · 0.0.3 · 2026-05-30	Suggests	testthat (>= 2.1.0)
tibble CRAN · 0.0.3 · 2026-05-30	Suggests	tibble
tidyr CRAN · 0.0.3 · 2026-05-30	Suggests	tidyr (>= 1.0.2)
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패키지 페이지

All links

Repository: CRAN
Version: 0.0.3
Collected: 2026-05-16 21:35:16
Package page: https://cran.r-project.org/web/packages/reservr/index.html
DOI: 10.32614/CRAN.package.reservr
CRAN checks: https://cran.r-project.org/web/checks/check_results_reservr.html
README: https://cran.r-project.org/web/packages/reservr/readme/README.html
NEWS: https://cran.r-project.org/web/packages/reservr/news/news.html
Reference HTML: https://cran.r-project.org/web/packages/reservr/refman/reservr.html
Reference PDF: https://cran.r-project.org/web/packages/reservr/reservr.pdf
Source package: https://cran.r-project.org/src/contrib/reservr_0.0.3.tar.gz
Archive: https://CRAN.R-project.org/src/contrib/Archive/reservr

In views

Distributions

Page fields

Author: Alexander Rosenstock [aut, cre, cph]
BugReports: https://github.com/AshesITR/reservr/issues
CRAN Checks: reservr results
DOI: 10.32614/CRAN.package.reservr
In Views: Distributions
License: GPL-2 | GPL-3 [expanded from: GPL]
LinkingTo: BH , Rcpp , RcppArmadillo , RcppParallel
Maintainer: Alexander Rosenstock <alexander.rosenstock at web.de>
Materials: README , NEWS
NeedsCompilation: yes
Old Sources: reservr archive
Package Source: reservr_0.0.3.tar.gz
Published: 2024-06-24
Reference Manual: reservr.html , reservr.pdf
SystemRequirements: GNU make
URL: https://ashesitr.github.io/reservr/ , https://github.com/AshesITR/reservr
Version: 0.0.3
Vignettes: Working with Distributions ( source , R code ) Fitting Distributions and Neural Networks to Censored and Truncated Data: The R Package reservr ( source , R code ) TensorFlow Integration ( source , R code )
Windows Binaries: r-devel: reservr_0.0.3.zip , r-release: reservr_0.0.3.zip , r-oldrel: reservr_0.0.3.zip
MacOS Binaries: r-release (arm64): reservr_0.0.3.tgz , r-oldrel (arm64): reservr_0.0.3.tgz , r-release (x86_64): reservr_0.0.3.tgz , r-oldrel (x86_64): reservr_0.0.3.tgz

Version

0.0.3

LinkingTo

BH , Rcpp , RcppArmadillo , RcppParallel

BH Rcpp RcppArmadillo RcppParallel

Published

2024-06-24

DOI

10.32614/CRAN.package.reservr

Author

Alexander Rosenstock [aut, cre, cph]

Maintainer

Alexander Rosenstock <alexander.rosenstock at web.de>

BugReports

https://github.com/AshesITR/reservr/issues

License

GPL-2 | GPL-3 [expanded from: GPL]

GPL-2 GPL-3

URL

https://ashesitr.github.io/reservr/ , https://github.com/AshesITR/reservr

https://ashesitr.github.io/reservr/https://github.com/AshesITR/reservr

NeedsCompilation

yes

SystemRequirements

GNU make

Materials

README , NEWS

README NEWS

In Views

Distributions

CRAN Checks

reservr results

Reference Manual

reservr.html , reservr.pdf

reservr.html reservr.pdf

Vignettes

Working with Distributions ( source , R code ) Fitting Distributions and Neural Networks to Censored and Truncated Data: The R Package reservr ( source , R code ) TensorFlow Integration ( source , R code )

Working with Distributions source R code Fitting Distributions and Neural Networks to Censored and Truncated Data: The R ...source R code TensorFlow Integration source R code

Package Source

reservr_0.0.3.tar.gz

Windows Binaries

r-devel: reservr_0.0.3.zip , r-release: reservr_0.0.3.zip , r-oldrel: reservr_0.0.3.zip

reservr_0.0.3.zip reservr_0.0.3.zip reservr_0.0.3.zip

MacOS Binaries

r-release (arm64): reservr_0.0.3.tgz , r-oldrel (arm64): reservr_0.0.3.tgz , r-release (x86_64): reservr_0.0.3.tgz , r-oldrel (x86_64): 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

Old Sources

reservr archive

Page sections 3

Documentation

Heading

Documentation

Links

[{"label":"reservr.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/reservr/refman/reservr.html"},{"label":"reservr.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/reservr/reservr.pdf"},{"label":"Working with Distributions","section":"","type":"","url":"https://cran.r-project.org/web/packages/reservr/vignettes/distributions.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/reservr/vignettes/distributions.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/reservr/vignettes/distributions.R"},{"label":"Fitting Distributions and Neural Networks to Censored and Truncated Data: The R Package reservr","section":"","type":"","url":"https://cran.r-project.org/web/packages/reservr/vignettes/jss_paper.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/reservr/vignettes/jss_paper.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/reservr/vignettes/jss_paper.R"},{"label":"TensorFlow Integration","section":"","type":"","url":"https://cran.r-project.org/web/packages/reservr/vignettes/tensorflow.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/reservr/vignettes/tensorflow.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/reservr/vignettes/tensorflow.R"}]

Text

Reference manual: reservr.html , reservr.pdf Vignettes: Working with Distributions ( source , R code ) Fitting Distributions and Neural Networks to Censored and Truncated Data: The R Package reservr ( source , R code ) TensorFlow Integration ( source , R code )

Downloads

Heading

Downloads

Links

[{"label":"reservr_0.0.3.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/reservr_0.0.3.tar.gz"},{"label":"reservr_0.0.3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/reservr_0.0.3.zip"},{"label":"reservr_0.0.3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/reservr_0.0.3.zip"},{"label":"reservr_0.0.3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/reservr_0.0.3.zip"},{"label":"reservr_0.0.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/reservr_0.0.3.tgz"},{"label":"reservr_0.0.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/reservr_0.0.3.tgz"},{"label":"reservr_0.0.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/reservr_0.0.3.tgz"},{"label":"reservr_0.0.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/reservr_0.0.3.tgz"},{"label":"reservr archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/reservr"}]

Text

Package source: reservr_0.0.3.tar.gz Windows binaries: r-devel: reservr_0.0.3.zip , r-release: reservr_0.0.3.zip , r-oldrel: reservr_0.0.3.zip macOS binaries: r-release (arm64): reservr_0.0.3.tgz , r-oldrel (arm64): reservr_0.0.3.tgz , r-release (x86_64): reservr_0.0.3.tgz , r-oldrel (x86_64): reservr_0.0.3.tgz Old sources: reservr archive

Linking

Heading

Linking

Links

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

Text

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

Materials 2

README NEWS

Documentation 11

reservr.html reservr.pdf Working with Distributions source R code Fitting Distributions and Neural Networks to Censored and Truncated Data: The R Package reservr source R code TensorFlow Integration source R code

Vignettes 9