mixedsubjectsirt

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / mixedsubjectsirt

mixedsubjectsirt

v1.0.0
Repository CRANLicense MIT + file LICENSENeeds compilation no
DOI
10.32614/CRAN.package.mixedsubjectsirt

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

0
표시할 핵심 신호가 없습니다.

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
1.0.0
License
MIT + file LICENSE
Needs compilation
no
Last observed
2026-07-10
CRAN
cran.r-project.org/package=mixedsubjectsirt

수집 소스별 패키지 정보

1개 소스
CRAN
1.0.0
2026-07-10
License
MIT + file LICENSE
Imports
mirt, rmutil
Suggests
ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
Needs compilation
no
Last observed
2026-07-10 02:43:42

이 패키지가 의존하는 패키지

5개 표시전체 6개
PackageTypeSpec
mirt
CRAN · 1.0.0 · 2026-10-04
Importsmirt
rmutil
CRAN · 1.0.0 · 2026-10-04
Importsrmutil
ggplot2
CRAN · 1.0.0 · 2026-10-04
Suggestsggplot2
knitr
CRAN · 1.0.0 · 2026-10-04
Suggestsknitr
rmarkdown
CRAN · 1.0.0 · 2026-10-04
Suggestsrmarkdown
1 / 2

이 패키지를 쓰는 패키지

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

패키지 페이지

All links
51
Repository
CRAN
Version
1.0.0
Collected
2026-09-20 04:39:08
Package page
https://cran.r-project.org/web/packages/mixedsubjectsirt/index.html
DOI
10.32614/CRAN.package.mixedsubjectsirt
CRAN checks
https://cran.r-project.org/web/checks/check_results_mixedsubjectsirt.html
README
https://cran.r-project.org/web/packages/mixedsubjectsirt/readme/README.html
NEWS
https://cran.r-project.org/web/packages/mixedsubjectsirt/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/mixedsubjectsirt/refman/mixedsubjectsirt.html
Reference PDF
https://cran.r-project.org/web/packages/mixedsubjectsirt/mixedsubjectsirt.pdf
Source package
https://cran.r-project.org/src/contrib/mixedsubjectsirt_1.0.0.tar.gz
Page fields
Author
Klint Kanopka [aut, cre]
BugReports
https://github.com/klintkanopka/mixedsubjectsirt/issues
CRAN Checks
mixedsubjectsirt results
DOI
10.32614/CRAN.package.mixedsubjectsirt
Language
en-US
License
MIT + file LICENSE
Maintainer
Klint Kanopka <klint.kanopka at nyu.edu>
Materials
README , NEWS
NeedsCompilation
no
Package Source
mixedsubjectsirt_1.0.0.tar.gz
Published
2026-06-25
Reference Manual
mixedsubjectsirt.html , mixedsubjectsirt.pdf
URL
https://klintkanopka.com/mixedsubjectsirt/ , https://github.com/klintkanopka/mixedsubjectsirt
Version
1.0.0
Vignettes
Per-Item Lambda (Experimental) ( source , R code ) Choosing Lambda in Mixed-Subjects IRT ( source , R code ) IRT Linking and Gradient Asymmetry: Diagnostic Guide ( source , R code ) Mixed-Subjects 1PL Calibration ( source , R code ) Mixed-Subjects IRT Calibration ( source , R code ) Simulation Validation of the Mixed-Subjects MML Estimator ( source , R code ) Understanding Ability-Risk Tuning ( source , R code ) Calibrating with a Weakly-Informative, Biased LLM ( source , R code )
Windows Binaries
r-devel: mixedsubjectsirt_1.0.0.zip , r-release: mixedsubjectsirt_1.0.0.zip , r-oldrel: mixedsubjectsirt_1.0.0.zip
MacOS Binaries
r-release (arm64): mixedsubjectsirt_1.0.0.tgz , r-oldrel (arm64): mixedsubjectsirt_1.0.0.tgz , r-release (x86_64): mixedsubjectsirt_1.0.0.tgz , r-oldrel (x86_64): mixedsubjectsirt_1.0.0.tgz
Version
1.0.0
Published
2026-06-25
DOI
10.32614/CRAN.package.mixedsubjectsirt
Author
Klint Kanopka [aut, cre]
Maintainer
Klint Kanopka <klint.kanopka at nyu.edu>
BugReports
https://github.com/klintkanopka/mixedsubjectsirt/issues
License
MIT + file LICENSE
URL
https://klintkanopka.com/mixedsubjectsirt/ , https://github.com/klintkanopka/mixedsubjectsirt
NeedsCompilation
no
Language
en-US
Materials
README , NEWS
CRAN Checks
mixedsubjectsirt results
Reference Manual
mixedsubjectsirt.html , mixedsubjectsirt.pdf
Vignettes
Per-Item Lambda (Experimental) ( source , R code ) Choosing Lambda in Mixed-Subjects IRT ( source , R code ) IRT Linking and Gradient Asymmetry: Diagnostic Guide ( source , R code ) Mixed-Subjects 1PL Calibration ( source , R code ) Mixed-Subjects IRT Calibration ( source , R code ) Simulation Validation of the Mixed-Subjects MML Estimator ( source , R code ) Understanding Ability-Risk Tuning ( source , R code ) Calibrating with a Weakly-Informative, Biased LLM ( source , R code )
Package Source
mixedsubjectsirt_1.0.0.tar.gz
Windows Binaries
r-devel: mixedsubjectsirt_1.0.0.zip , r-release: mixedsubjectsirt_1.0.0.zip , r-oldrel: mixedsubjectsirt_1.0.0.zip
MacOS Binaries
r-release (arm64): mixedsubjectsirt_1.0.0.tgz , r-oldrel (arm64): mixedsubjectsirt_1.0.0.tgz , r-release (x86_64): mixedsubjectsirt_1.0.0.tgz , r-oldrel (x86_64): mixedsubjectsirt_1.0.0.tgz
Page sections 3
Documentation
Heading
Documentation
Links
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Text
Reference manual: mixedsubjectsirt.html , mixedsubjectsirt.pdf Vignettes: Per-Item Lambda (Experimental) ( source , R code ) Choosing Lambda in Mixed-Subjects IRT ( source , R code ) IRT Linking and Gradient Asymmetry: Diagnostic Guide ( source , R code ) Mixed-Subjects 1PL Calibration ( source , R code ) Mixed-Subjects IRT Calibration ( source , R code ) Simulation Validation of the Mixed-Subjects MML Estimator ( source , R code ) Understanding Ability-Risk Tuning ( source , R code ) Calibrating with a Weakly-Informative, Biased LLM ( source , R code )
Downloads
Heading
Downloads
Links
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Text
Package source: mixedsubjectsirt_1.0.0.tar.gz Windows binaries: r-devel: mixedsubjectsirt_1.0.0.zip , r-release: mixedsubjectsirt_1.0.0.zip , r-oldrel: mixedsubjectsirt_1.0.0.zip macOS binaries: r-release (arm64): mixedsubjectsirt_1.0.0.tgz , r-oldrel (arm64): mixedsubjectsirt_1.0.0.tgz , r-release (x86_64): mixedsubjectsirt_1.0.0.tgz , r-oldrel (x86_64): mixedsubjectsirt_1.0.0.tgz
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=mixedsubjectsirt","section":"","type":"","url":"https://CRAN.R-project.org/package=mixedsubjectsirt"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=mixedsubjectsirt to link to this page.
Materials 2
Documentation 26
Vignettes 24
Downloads 8
All page links 51

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN1.0.02026-07-012026-07-10

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.