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π‘οΈ Sentinel: [λμ] readline μ λ ₯ κ²μ¦ μ μ μ μ€λ²νλ‘μ° μ·¨μ½μ μμ #191
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π‘οΈ Sentinel: readline μ
λ ₯ κ²μ¦ μ μ μ μ€λ²νλ‘μ° μ·¨μ½μ μμ
seonghobae 6f747e1
π‘οΈ Sentinel: readline μ
λ ₯ κ²μ¦ μ μ μ μ€λ²νλ‘μ° μ·¨μ½μ μμ λ° ν
μ€νΈ νκ²½ κ°μ
seonghobae 2c81212
π‘οΈ Sentinel: R CMD check NOTE μ΄μ λ° λΆνμν λΉλ μν°ν©νΈ μ 리
seonghobae f032ed7
π‘οΈ Sentinel: λΆνμν λΉλ μν°ν©νΈ μ κ±°λ₯Ό ν΅ν CI μ€ν¨ ν΄κ²°
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -22,3 +22,5 @@ | |
| ^\.jules(/.*)?$ | ||
| ^\.trivyignore\.yaml$ | ||
| ^trivy\.yaml$ | ||
| ^\.semgrepignore$ | ||
| ^test_validation\.R$ | ||
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π©Ί Stability & Availability | π Major | ποΈ Heavy lift
π§© Analysis chain
π Script executed:
Repository: ContextualWisdomLab/aFIPC
Length of output: 17841
π Script executed:
Repository: ContextualWisdomLab/aFIPC
Length of output: 163
π Script executed:
Repository: ContextualWisdomLab/aFIPC
Length of output: 10180
π Script executed:
Repository: ContextualWisdomLab/aFIPC
Length of output: 13650
π Web query:
aFIPC autoFIPC oldformBILOGprior newformBILOGprior 3PL mirt source codeπ‘ Result:
The terms aFIPC, autoFIPC, oldformBILOGprior, and newformBILOGprior appear in the source code of the R package mirt, which is a comprehensive framework for Multidimensional Item Response Theory (IRT) [1][2]. These specific names are internal parameters or function arguments used within the mirt package to control estimation procedures, particularly concerning Fixed Item Parameter Calibration (FIPC) and the handling of priors in IRT models [3][4]. FIPC refers to the methodology of calibrating new items while holding the parameters of existing (common) items fixed, a common technique for test equating or linking [3][4]. The terms oldformBILOGprior and newformBILOGprior relate to how prior distributions are specified for item parameters, often mimicking historical conventions from legacy software like BILOG-MG to ensure consistency in Bayesian estimation or to accommodate different algorithmic implementations [3]. As an open-source project, the mirt package source code is hosted on GitHub, and the package provides extensive functionality for fitting IRT models, including 3PL models, using advanced estimation techniques such as the EM algorithm and MHRM [1][5][6]. The package is maintained by Phil Chalmers and is available on CRAN [1]. Users interested in the exact implementation details can examine the source code in the package repository [1][2].
Citations:
μ νΌ κ²μ¦μ μ΄μ νΌ 3PL μΆμ μμ λΆλ¦¬νμΈμ.
oldformBILOGprior = FALSEλ μ΄μ νΌ ν둬ννΈλ§ 건λλ°κ³ , μ΄μ νΌ 3PL μΆμ μ κ·Έλλ‘ μ€νλ©λλ€. κ·Έλμ μ΄ ν μ€νΈλ μ νΌ μ λ ₯ μ€λ₯λ³΄λ€ λ¨Όμ μΆμ μ±κ³΅μ μμ‘΄ν΄ λλ €μ§κ±°λ κΉ¨μ§ μ μμ΅λλ€. μ νΌ λΆκΈ°λ§ μ§μ ν μ€νΈνλλ‘ fixture/mockμΌλ‘ λΆλ¦¬νμΈμ.π€ Prompt for AI Agents