Package: TAM 4.2-21
Alexander Robitzsch
TAM: Test Analysis Modules
Includes marginal maximum likelihood estimation and joint maximum likelihood estimation for unidimensional and multidimensional item response models. The package functionality covers the Rasch model, 2PL model, 3PL model, generalized partial credit model, multi-faceted Rasch model, nominal item response model, structured latent class model, mixture distribution IRT models, and located latent class models. Latent regression models and plausible value imputation are also supported. For details see Adams, Wilson and Wang, 1997 <doi:10.1177/0146621697211001>, Adams, Wilson and Wu, 1997 <doi:10.3102/10769986022001047>, Formann, 1982 <doi:10.1002/bimj.4710240209>, Formann, 1992 <doi:10.1080/01621459.1992.10475229>.
Authors:
TAM_4.2-21.tar.gz
TAM_4.2-21.tar.gz(r-4.5-noble)TAM_4.2-21.tar.gz(r-4.4-noble)
TAM_4.2-21.tgz(r-4.4-emscripten)TAM_4.2-21.tgz(r-4.3-emscripten)
TAM.pdf |TAM.html✨
TAM/json (API)
NEWS
| # Install 'TAM' in R: |
| install.packages('TAM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alexanderrobitzsch/tam/issues
- data.cqc01 - More Datasets and Examples
- data.cqc02 - More Datasets and Examples
- data.cqc03 - More Datasets and Examples
- data.cqc04 - More Datasets and Examples
- data.cqc05 - More Datasets and Examples
- data.ctest1 - Some C-Test Datasets
- data.ctest2 - Some C-Test Datasets
- data.ex08 - Datasets 'data.ex' in 'TAM' Package
- data.ex10 - Datasets 'data.ex' in 'TAM' Package
- data.ex11 - Datasets 'data.ex' in 'TAM' Package
- data.ex12 - Datasets 'data.ex' in 'TAM' Package
- data.ex14 - Datasets 'data.ex' in 'TAM' Package
- data.ex15 - Datasets 'data.ex' in 'TAM' Package
- data.ex16 - Datasets 'data.ex' in 'TAM' Package
- data.ex17 - Datasets 'data.ex' in 'TAM' Package
- data.exJ03 - Datasets 'data.ex' in 'TAM' Package
- data.fims.Aus.Jpn.raw - Dataset FIMS Study with Responses of Australian and Japanese Students
- data.fims.Aus.Jpn.scored - Dataset FIMS Study with Responses of Australian and Japanese Students
- data.geiser - Dataset from Geiser et al.
- data.gpcm - Dataset with Ordered Indicators
- data.janssen - Dataset from Janssen and Geiser
- data.janssen2 - Dataset from Janssen and Geiser
- data.mc - Dataset with Raw and Scored Responses from Multiple Choice Items
- data.numeracy - Dataset Numeracy
- data.sim.facets - Simulated Multifaceted Data
- data.sim.mfr - Simulated Multifaceted Data
- data.sim.rasch - Simulated Rasch data
- data.sim.rasch.missing - Simulated Rasch data
- data.sim.rasch.pweights - Simulated Rasch data
- data.timssAusTwn - Dataset TIMSS 2011 of Australian and Taiwanese Students
- data.timssAusTwn.scored - Dataset TIMSS 2011 of Australian and Taiwanese Students
Last updated 11 months agofrom:25815b8042. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 16 2024 |
| R-4.5-linux-x86_64 | NOTE | Dec 16 2024 |
Exports:.A.matrix.A.PCM2.A.PCM3add.leadcfa.extract.itemparsDescribeBydesignMatricesdesignMatrices.mfrdesignMatrices.mfr2doparseEAPrelIRT.cvIRT.drawPVIRT.informationCurvesIRT.linearCFAIRT.residualsIRT.RISEIRT.simulateIRT.thresholdIRT.truescoreIRT.WrightMapIRTLikelihood.cfaIRTLikelihood.cttlavaanify.IRTmsq.itemfitmsq.itemfitWLEplotcttplotDevianceTAMrequire_namespace_msgScaletamtam_01_patterntam_aggregatetam_args_CALL_searchtam_assign_list_elementstam_AXsi_computetam_AXsi_fittam_bayesian_bootstraptam_cor_wttam_cov_wttam_csinktam_difference_quotienttam_dmvnormtam_downcodetam_ginvtam_ginv_scaledtam_interval_indextam_irf_3pltam_jml_wletam_latreg_se_quicktam_linking_2studiestam_matrix2tam_max_abstam_max_abs_listtam_mml_se_quicktam_model_implied_meanstam_NA_patterntam_normalize_matrix_rowstam_normalize_vectortam_osinktam_outertam_packageinfotam_print_calltam_remove_missingstam_round_data_frametam_round_data_frame_printtam_rowCumsumstam_rsessinfotam_trim_incrementtam.cbtam.ctttam.ctt2tam.ctt3tam.fatam.fittam.jmltam.jml.fittam.jml2tam.latregtam.linkingtam.mmltam.mml.2pltam.mml.3pltam.mml.fittam.mml.mfrtam.mml.wletam.mml.wle2tam.modelfittam.modelfit.argstam.modelfit.IRTtam.nptam.personfittam.pvtam.pv.mcmctam.Q3tam.setam.thresholdtam.wletamaantamaanifytampv2datalistweighted_kurtosisweighted_meanweighted_quantileweighted_sdweighted_skewnessweighted_tableweighted_varWLErel
Dependencies:admiscCDMlatticeMatrixmvtnormpolycorRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Test Analysis Modules | TAM-package TAM |
| Likelihood Ratio Test for Model Comparisons and Log-Likelihood Value | anova.tam anova.tam.latreg anova.tam.mml anova.tam.mml.3pl anova.tam.np anova.tamaan logLik.tam logLik.tam.latreg logLik.tam.mml logLik.tam.mml.3pl logLik.tam.np logLik.tamaan |
| Extracting Item Parameters from a Fitted 'cfa' Object in 'lavaan' | cfa.extract.itempars |
| More Datasets and Examples (Similar to ConQuest Examples) | data.cqc01 data.cqc02 data.cqc03 data.cqc04 data.cqc05 |
| Some C-Test Datasets | data.ctest data.ctest1 data.ctest2 |
| Datasets 'data.ex' in 'TAM' Package | data.ex08 data.ex10 data.ex11 data.ex12 data.ex14 data.ex15 data.ex16 data.ex17 data.exJ03 |
| Dataset FIMS Study with Responses of Australian and Japanese Students | data.fims.Aus.Jpn.raw data.fims.Aus.Jpn.scored |
| Dataset from Geiser et al. (2006) | data.geiser |
| Dataset with Ordered Indicators | data.gpcm |
| Dataset from Janssen and Geiser (2010) | data.janssen data.janssen2 |
| Dataset with Raw and Scored Responses from Multiple Choice Items | data.mc |
| Dataset Numeracy | data.numeracy |
| Simulated Multifaceted Data | data.sim.facets data.sim.mfr |
| Simulated Rasch data | data.sim.rasch data.sim.rasch.missing data.sim.rasch.pweights |
| Dataset TIMSS 2011 of Australian and Taiwanese Students | data.timssAusTwn data.timssAusTwn.scored |
| S3 Method for Descriptive Statistics of Objects | DescribeBy |
| Generation of Design Matrices | .A.matrix .A.PCM2 .A.PCM3 designMatrices designMatrices.mfr designMatrices.mfr2 print.designMatrices rownames.design |
| Parsing a String with 'DO' Statements | doparse |
| Cross-Validation of a Fitted IRT Model | IRT.cv |
| Extracting Item Response Dataset | IRT.data.tam.mml IRT.data.tam.mml.3pl IRT.data.tamaan |
| Function for Drawing Plausible Values | IRT.drawPV |
| Extracting Expected Counts | IRT.expectedCounts.tam IRT.expectedCounts.tam.mml IRT.expectedCounts.tam.mml.3pl IRT.expectedCounts.tam.np IRT.expectedCounts.tamaan |
| Extracting Factor Scores in 'TAM' | IRT.factor.scores.tam IRT.factor.scores.tam.mml IRT.factor.scores.tam.mml.3pl IRT.factor.scores.tamaan |
| Observed and Expected Frequencies for Univariate and Bivariate Distributions | IRT.frequencies.tam.mml IRT.frequencies.tam.mml.3pl IRT.frequencies.tamaan |
| Item and Test Information Curve | IRT.informationCurves IRT.informationCurves.tam.mml IRT.informationCurves.tam.mml.2pl IRT.informationCurves.tam.mml.3pl IRT.informationCurves.tam.mml.mfr plot.IRT.informationCurves |
| Extracting Item Response Functions | IRT.irfprob.tam IRT.irfprob.tam.mml IRT.irfprob.tam.mml.3pl IRT.irfprob.tam.np IRT.irfprob.tamaan |
| RMSD Item Fit Statistics for 'TAM' Objects | IRT.itemfit.tam.mml IRT.itemfit.tam.mml.2pl IRT.itemfit.tam.mml.3pl IRT.itemfit.tam.mml.mfr |
| Extracting Individual Likelihood and Individual Posterior | IRT.likelihood.tam IRT.likelihood.tam.latreg IRT.likelihood.tam.mml IRT.likelihood.tam.mml.3pl IRT.likelihood.tam.np IRT.likelihood.tamaan IRT.posterior.tam IRT.posterior.tam.latreg IRT.posterior.tam.mml IRT.posterior.tam.mml.3pl IRT.posterior.tam.np IRT.posterior.tamaan |
| Linear Approximation of a Confirmatory Factor Analysis | IRT.linearCFA summary.IRT.linearCFA |
| Residuals in an IRT Model | IRT.residuals IRT.residuals.tam.jml IRT.residuals.tam.mml IRT.residuals.tam.mml.2pl IRT.residuals.tam.mml.mfr residuals.tam.jml residuals.tam.mml residuals.tam.mml.2pl residuals.tam.mml.mfr |
| Simulating Item Response Models | IRT.simulate IRT.simulate.tam.mml IRT.simulate.tam.mml.2pl IRT.simulate.tam.mml.3pl IRT.simulate.tam.mml.mfr |
| Thurstonian Thresholds and Wright Map for Item Response Models | IRT.threshold IRT.WrightMap IRT.WrightMap.IRT.threshold print.IRT.threshold |
| Converts a theta Score into a True Score tau ( theta) | IRT.truescore |
| Wright Map for Item Response Models by Using the 'WrightMap' Package | IRT.WrightMap.tam.mml IRT.WrightMap.tamaan |
| Individual Likelihood for Confirmatory Factor Analysis | IRTLikelihood.cfa |
| Computes Individual Likelihood from Classical Test Theory Estimates | IRTLikelihood.ctt |
| Slight Extension of the 'lavaan' Syntax, with Focus on Item Response Models | lavaanify.IRT |
| Mean Squared Residual Based Item Fit Statistics (Infit, Outfit) | msq.itemfit msq.itemfitWLE summary.msq.itemfit summary.msq.itemfitWLE |
| Plot Function for Unidimensional Item Response Models | plot.tam plot.tam.jml plot.tam.mml |
| Deviance Plot for 'TAM' Objects | plotDevianceTAM |
| Expected Values and Predicted Probabilities for Fitted 'TAM' Models | predict.tam.mml predict.tam.mml.3pl predict.tamaan |
| S3 Method for Standardizations and Transformations of Variables | Scale |
| Downcoding an Item Response Dataset | tam_downcode |
| Item Response Function for the 3PL Model | tam_irf_3pl |
| Missing Data Patterns | tam_01_pattern tam_NA_pattern |
| Defunct 'TAM' Functions | TAM-defunct tam.jml2 |
| Utility Functions in 'TAM' | add.lead IRT.RISE require_namespace_msg TAM-utilities tam_aggregate tam_args_CALL_search tam_assign_list_elements tam_AXsi_compute tam_AXsi_fit tam_bayesian_bootstrap tam_cor_wt tam_cov_wt tam_csink tam_difference_quotient tam_dmvnorm tam_ginv tam_ginv_scaled tam_interval_index tam_matrix2 tam_max_abs tam_max_abs_list tam_model_implied_means tam_normalize_matrix_rows tam_normalize_vector tam_osink tam_outer tam_packageinfo tam_print_call tam_remove_missings tam_round_data_frame tam_round_data_frame_print tam_rowCumsums tam_rsessinfo tam_trim_increment |
| Classical Test Theory Based Statistics and Plots | plotctt tam.cb tam.ctt tam.ctt2 tam.ctt3 |
| Bifactor Model and Exploratory Factor Analysis | tam.fa |
| Item Infit and Outfit Statistic | summary.tam.fit tam.fit tam.jml.fit tam.mml.fit |
| Joint Maximum Likelihood Estimation | logLik.tam.jml summary.tam.jml tam.jml |
| Latent Regression Model | print.tam.latreg summary.tam.latreg tam.latreg |
| Linking of Fitted Unidimensional Item Response Models in 'TAM' | print.tam.linking print.tam_linking_2studies summary.tam.linking summary.tam_linking_2studies tam.linking tam_linking_2studies |
| Test Analysis Modules: Marginal Maximum Likelihood Estimation | print.tam print.tam.mml prior_list_include summary.tam summary.tam.mml tam tam.mml tam.mml.2pl tam.mml.mfr |
| 3PL Structured Item Response Model in 'TAM' | print.tam.mml.3pl summary.tam.mml.3pl tam.mml.3pl |
| Model Fit Statistics in 'TAM' | IRT.modelfit.tam.mml IRT.modelfit.tam.mml.3pl IRT.modelfit.tamaan summary.IRT.modelfit.tam.mml summary.IRT.modelfit.tam.mml.3pl summary.IRT.modelfit.tamaan summary.tam.modelfit summary.tam.Q3 tam.modelfit tam.modelfit.args tam.modelfit.IRT tam.Q3 |
| Unidimensional Non- and Semiparametric Item Response Model | IRT.cv.tam.np summary.tam.np tam.np |
| Person Outfit and Infit Statistics | tam.personfit |
| Plausible Value Imputation | plot.tam.pv.mcmc summary.tam.pv.mcmc tam.pv tam.pv.mcmc |
| Standard Error Estimation | tam.se tam_latreg_se_quick tam_mml_se_quick |
| Calculation of Thurstonian Thresholds | tam.threshold |
| Weighted Likelihood Estimation and Maximum Likelihood Estimation of Person Parameters | print.tam.wle summary.tam.wle tam.mml.wle tam.mml.wle2 tam.wle tam_jml_wle |
| Wrapper Function for 'TAM' Language | print.tamaan summary.tamaan tamaan |
| Function for Parsing 'TAM' Input | tamaanify |
| Conversion of Plausible Value Object into Datalist | tampv2datalist |
| Descriptive Statistics for Weighted Data | weighted_kurtosis weighted_mean weighted_quantile weighted_sd weighted_skewness weighted_Stats weighted_table weighted_var |
| Reliability Estimation in 'TAM' | EAPrel WLErel |
