MECfda

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / MECfda

MECfda

v0.2.1

MECfda

Repository CRANLicense GPL-3Lifecycle activeNeeds compilation no

Package page Reference Source DOI NEWS

DOI

10.32614/CRAN.package.MECfda

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

표시할 핵심 신호가 없습니다.

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

0.2.1

License

GPL-3

Lifecycle

active

Needs compilation

Last observed

2026-05-30

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

수집 소스별 패키지 정보

1개 소스

CRAN

0.2.1

2026-05-30

License

GPL-3

Depends

R (>= 2.10),

Imports

stats, utils, lme4, quantreg, splines, dplyr, MASS, Matrix, gss, corpcor, fda, magrittr, methods, nlme, glme, mgcv, refund, pracma

Suggests

knitr, rmarkdown

Needs compilation

Lifecycle

active

Last observed

2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 20개

Package	Type	Spec
corpcor CRAN · 0.2.1 · 2026-05-30	Imports	corpcor
dplyr CRAN · 0.2.1 · 2026-05-30	Imports	dplyr
fda CRAN · 0.2.1 · 2026-05-30	Imports	fda
glme CRAN · 0.2.1 · 2026-05-30	Imports	glme
gss CRAN · 0.2.1 · 2026-05-30	Imports	gss
lme4 CRAN · 0.2.1 · 2026-05-30	Imports	lme4
magrittr CRAN · 0.2.1 · 2026-05-30	Imports	magrittr
MASS CRAN · 0.2.1 · 2026-05-30	Imports	MASS
Matrix CRAN · 0.2.1 · 2026-05-30	Imports	Matrix
methods CRAN · 0.2.1 · 2026-05-30	Imports	methods
mgcv CRAN · 0.2.1 · 2026-05-30	Imports	mgcv
nlme CRAN · 0.2.1 · 2026-05-30	Imports	nlme
pracma CRAN · 0.2.1 · 2026-05-30	Imports	pracma
quantreg CRAN · 0.2.1 · 2026-05-30	Imports	quantreg
refund CRAN · 0.2.1 · 2026-05-30	Imports	refund
splines CRAN · 0.2.1 · 2026-05-30	Imports	splines
stats CRAN · 0.2.1 · 2026-05-30	Imports	stats
utils CRAN · 0.2.1 · 2026-05-30	Imports	utils
knitr CRAN · 0.2.1 · 2026-05-30	Suggests	knitr
rmarkdown CRAN · 0.2.1 · 2026-05-30	Suggests	rmarkdown
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0개 표시전체 0개

Package	Type	Spec
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패키지 페이지

All links

Repository: CRAN
Version: 0.2.1
Collected: 2026-05-28 07:08:51
Package page: https://cran.r-project.org/web/packages/MECfda/index.html
DOI: 10.32614/CRAN.package.MECfda
CRAN checks: https://cran.r-project.org/web/checks/check_results_MECfda.html
NEWS: https://cran.r-project.org/web/packages/MECfda/news/news.html
Reference HTML: https://cran.r-project.org/web/packages/MECfda/refman/MECfda.html
Reference PDF: https://cran.r-project.org/web/packages/MECfda/MECfda.pdf
Source package: https://cran.r-project.org/src/contrib/MECfda_0.2.1.tar.gz
Archive: https://CRAN.R-project.org/src/contrib/Archive/MECfda

Page fields

Author: Heyang Ji [aut, cre, ctb, dtc], Ufuk Beyaztas [aut, ctb, rev], Nicolas Escobar-Velasquez [com], Yuanyuan Luan [aut, ctb], Xiwei Chen [aut, ctb], Mengli Zhang [aut, ctb], Roger Zoh [aut, ths], Lan Xue [aut, ths], Carmen Tekwe [aut, ths]
CRAN Checks: MECfda results
DOI: 10.32614/CRAN.package.MECfda
License: GPL-3
Maintainer: Heyang Ji <jihx1015 at outlook.com>
Materials: NEWS
NeedsCompilation: no
Old Sources: MECfda archive
Package Source: MECfda_0.2.1.tar.gz
Published: 2025-06-30
Reference Manual: MECfda.html , MECfda.pdf
Version: 0.2.1
Vignettes: MECfda: An R package for bias correction due to measurement error in functional and scalar covariates in scalar-on-function regression models ( source , R code )
Windows Binaries: r-devel: MECfda_0.2.1.zip , r-release: MECfda_0.2.1.zip , r-oldrel: MECfda_0.2.1.zip
MacOS Binaries: r-release (arm64): MECfda_0.2.1.tgz , r-oldrel (arm64): MECfda_0.2.1.tgz , r-release (x86_64): MECfda_0.2.1.tgz , r-oldrel (x86_64): MECfda_0.2.1.tgz

Version

0.2.1

Published

2025-06-30

DOI

10.32614/CRAN.package.MECfda

Author

Heyang Ji [aut, cre, ctb, dtc], Ufuk Beyaztas [aut, ctb, rev], Nicolas Escobar-Velasquez [com], Yuanyuan Luan [aut, ctb], Xiwei Chen [aut, ctb], Mengli Zhang [aut, ctb], Roger Zoh [aut, ths], Lan Xue [aut, ths], Carmen Tekwe [aut, ths]

https://orcid.org/0009-0001-7494-7227 https://orcid.org/0000-0002-5208-4950 https://orcid.org/0009-0006-0800-5692 https://orcid.org/0000-0002-1857-2416

Maintainer

Heyang Ji <jihx1015 at outlook.com>

License

GPL-3

NeedsCompilation

Materials

NEWS

CRAN Checks

MECfda results

Reference Manual

MECfda.html , MECfda.pdf

MECfda.html MECfda.pdf

Vignettes

MECfda: An R package for bias correction due to measurement error in functional and scalar covariates in scalar-on-function regression models ( source , R code )

MECfda: An R package for bias correction due to measurement error in functional ...source R code

Package Source

MECfda_0.2.1.tar.gz

Windows Binaries

r-devel: MECfda_0.2.1.zip , r-release: MECfda_0.2.1.zip , r-oldrel: MECfda_0.2.1.zip

MECfda_0.2.1.zip MECfda_0.2.1.zip MECfda_0.2.1.zip

MacOS Binaries

r-release (arm64): MECfda_0.2.1.tgz , r-oldrel (arm64): MECfda_0.2.1.tgz , r-release (x86_64): MECfda_0.2.1.tgz , r-oldrel (x86_64): MECfda_0.2.1.tgz

MECfda_0.2.1.tgz MECfda_0.2.1.tgz MECfda_0.2.1.tgz MECfda_0.2.1.tgz

Old Sources

MECfda archive

Page sections 3

Documentation

Heading

Documentation

Links

[{"label":"MECfda.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/MECfda/refman/MECfda.html"},{"label":"MECfda.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/MECfda/MECfda.pdf"},{"label":"MECfda: An R package for bias correction due to measurement error in functional and scalar covariates in scalar-on-function regression models","section":"","type":"","url":"https://cran.r-project.org/web/packages/MECfda/vignettes/MECfda.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/MECfda/vignettes/MECfda.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/MECfda/vignettes/MECfda.R"}]

Text

Reference manual: MECfda.html , MECfda.pdf Vignettes: MECfda: An R package for bias correction due to measurement error in functional and scalar covariates in scalar-on-function regression models ( source , R code )

Downloads

Heading

Downloads

Links

[{"label":"MECfda_0.2.1.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/MECfda_0.2.1.tar.gz"},{"label":"MECfda_0.2.1.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/MECfda_0.2.1.zip"},{"label":"MECfda_0.2.1.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/MECfda_0.2.1.zip"},{"label":"MECfda_0.2.1.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/MECfda_0.2.1.zip"},{"label":"MECfda_0.2.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/MECfda_0.2.1.tgz"},{"label":"MECfda_0.2.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/MECfda_0.2.1.tgz"},{"label":"MECfda_0.2.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/MECfda_0.2.1.tgz"},{"label":"MECfda_0.2.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/MECfda_0.2.1.tgz"},{"label":"MECfda archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/MECfda"}]

Text

Package source: MECfda_0.2.1.tar.gz Windows binaries: r-devel: MECfda_0.2.1.zip , r-release: MECfda_0.2.1.zip , r-oldrel: MECfda_0.2.1.zip macOS binaries: r-release (arm64): MECfda_0.2.1.tgz , r-oldrel (arm64): MECfda_0.2.1.tgz , r-release (x86_64): MECfda_0.2.1.tgz , r-oldrel (x86_64): MECfda_0.2.1.tgz Old sources: MECfda archive

Linking

Heading

Linking

Links

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

Text

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

Materials 1

NEWS

Documentation 5

MECfda.html MECfda.pdf MECfda: An R package for bias correction due to measurement error in functional and scalar covariates in scalar-on-function regression models source R code

Vignettes 3

MECfda: An R package for bias correction due to measurement error in functional and scalar covariates in scalar-on-function regression models source R code

Downloads 9

MECfda_0.2.1.tar.gz MECfda_0.2.1.zip MECfda_0.2.1.zip MECfda_0.2.1.zip MECfda_0.2.1.tgz MECfda_0.2.1.tgz MECfda_0.2.1.tgz MECfda_0.2.1.tgz MECfda archive

All page links 43

버전 이력

Repository	Version	Published	First seen	Last seen	Docs
CRAN	0.2.1		2026-05-29	2026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.