【独家发布】项目反应理论里面的一些R语言的包总结

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非Bayesian的包:
birtr The R Package for "The Basics of Item Response Theory Using R"
cacIRT Classification Accuracy and Consistency under Item ResponseTheory
cIRT Choice Item Response Theory
edstan Stan Models for Item Response Theory
emIRT EM Algorithms for Estimating Item Response Theory Models(EM算法)
flexmetFlexible Latent Trait Metrics using the Filtered MonotonicPolynomial Item Response Model
hIRT Hierarchical Item Response Theory Models
immerItem Response Models for Multiple Ratings
integIRTyIntegrating Multiple Modalities of High Throughput Assays UsingItem Response Theory
irtDemo Item Response Theory Demo Collection
irtoysA Collection of Functions Related to Item Response Theory (IRT)
IRTppEstimating IRT Parameters using the IRT Methodology
irtProbUtilities and Probability Distributions Related toMultidimensional Person Item Response Models
irtreesEstimation of Tree-Based Item Response Models
irtreliabilityItem Response Theory Reliability
IRTShinyItem Response Theory via Shiny
LNIRTLogNormal Response Time Item Response Theory Models
ltmLatent Trait Models under IRT(最常用的R包之一)
mirtMultidimensional Item Response Theory(最常用的R包之一)
mirtCATComputerized Adaptive Testing with Multidimensional ItemResponse Theory(最常用的R包之一)
MLCIRTwithinLatent Class Item Response Theory (LC-IRT) Models underWithin-Item Multidimensionality
MultiLCIRTMultidimensional Latent Class Item Response Theory Models
pcIRTIRT Models for Polytomous and Continuous Item Responses
sirtSupplementary Item Response Theory Models
subscoreComputing Subscores in Classical Test Theory and Item ResponseTheory
TestDataImputationMissing Item Responses Imputation for Test and Assessment Data
xxIRTPractical Item Response Theory and Computer-Based Testing in R
eRmExtended Rasch Modeling(最常用的R包之一)

非参数的IRT 包:
KernSmoothIRTNonparametric Item Response Theory

Bayesian的包
bairt Bayesian Analysis of Item Response Theory Models
fourPNO Bayesian 4 Parameter Item Response Model
ltbayesSimulation-Based Bayesian Inference for Latent Traits of ItemResponse Models


上述的R包安装只要一个命令:intsall.packages('包的名称')

如果有其他的R包欢迎在下面留言.

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关键词：非参数

，版主好厉害

beijin2008 发表于 2018-6-20 17:18
，版主好厉害

版主好厉害。用心了

145xyz 发表于 2018-6-21 10:00
版主好厉害。用心了

顶起来

zssg2012 发表于 2018-6-27 10:15
顶起来

顶起来。可以补充哈

2010517155lpq 发表于 2018-7-1 13:16