Man pages for TAM
Test Analysis Modules
| anova.tam | Likelihood Ratio Test for Model Comparisons and... |
| cfa.extract.itempars | Extracting Item Parameters from a Fitted 'cfa' Object in... |
| data.cqc | More Datasets and Examples (Similar to ConQuest Examples) |
| data.ctest | Some C-Test Datasets |
| data.examples | Datasets 'data.ex' in 'TAM' Package |
| data.fims.Aus.Jpn | Dataset FIMS Study with Responses of Australian and Japanese... |
| data.geiser | Dataset from Geiser et al. (2006) |
| data.gpcm | Dataset with Ordered Indicators |
| data.janssen | Dataset from Janssen and Geiser (2010) |
| data.mc | Dataset with Raw and Scored Responses from Multiple Choice... |
| data.numeracy | Dataset Numeracy |
| data.sim.mfr | Simulated Multifaceted Data |
| data.sim.rasch | Simulated Rasch data |
| data.timssAusTwn | Dataset TIMSS 2011 of Australian and Taiwanese Students |
| DescribeBy | S3 Method for Descriptive Statistics of Objects |
| designMatrices | Generation of Design Matrices |
| doparse | Parsing a String with 'DO' Statements |
| IRT.cv | Cross-Validation of a Fitted IRT Model |
| IRT.data.tam | Extracting Item Response Dataset |
| IRT.drawPV | Function for Drawing Plausible Values |
| IRT.expectedCounts.tam | Extracting Expected Counts |
| IRT.factor.scores.tam | Extracting Factor Scores in 'TAM' |
| IRT.frequencies.tam | Observed and Expected Frequencies for Univariate and... |
| IRT.informationCurves | Item and Test Information Curve |
| IRT.irfprob.tam | Extracting Item Response Functions |
| IRT.itemfit | RMSD Item Fit Statistics for 'TAM' Objects |
| IRTLikelihood.cfa | Individual Likelihood for Confirmatory Factor Analysis |
| IRTLikelihood.ctt | Computes Individual Likelihood from Classical Test Theory... |
| IRT.likelihood.tam | Extracting Individual Likelihood and Individual Posterior |
| IRT.linearCFA | Linear Approximation of a Confirmatory Factor Analysis |
| IRT.residuals | Residuals in an IRT Model |
| IRT.simulate | Simulating Item Response Models |
| IRT.threshold | Thurstonian Thresholds and Wright Map for Item Response... |
| IRT.truescore | Converts a theta Score into a True Score tau ( theta) |
| IRT.WrightMap | Wright Map for Item Response Models by Using the 'WrightMap'... |
| lavaanify.IRT | Slight Extension of the 'lavaan' Syntax, with Focus on Item... |
| msq.itemfit | Mean Squared Residual Based Item Fit Statistics (Infit,... |
| plotDevianceTAM | Deviance Plot for 'TAM' Objects |
| plot.tam | Plot Function for Unidimensional Item Response Models |
| predict | Expected Values and Predicted Probabilities for Fitted 'TAM'... |
| Scale | S3 Method for Standardizations and Transformations of... |
| tamaan | Wrapper Function for 'TAM' Language |
| tamaanify | Function for Parsing 'TAM' Input |
| tam.ctt | Classical Test Theory Based Statistics and Plots |
| TAM-defunct | Defunct 'TAM' Functions |
| tam_downcode | Downcoding an Item Response Dataset |
| tam.fa | Bifactor Model and Exploratory Factor Analysis |
| tam.fit | Item Infit and Outfit Statistic |
| tam_irf_3pl | Item Response Function for the 3PL Model |
| tam.jml | Joint Maximum Likelihood Estimation |
| tam.latreg | Latent Regression Model |
| tam.linking | Linking of Fitted Unidimensional Item Response Models in... |
| tam.mml | Test Analysis Modules: Marginal Maximum Likelihood Estimation |
| tam.mml.3pl | 3PL Structured Item Response Model in 'TAM' |
| tam.modelfit | Model Fit Statistics in 'TAM' |
| tam_NA_pattern | Missing Data Patterns |
| tam.np | Unidimensional Non- and Semiparametric Item Response Model |
| TAM-package | Test Analysis Modules |
| tam.personfit | Person Outfit and Infit Statistics |
| tam.pv | Plausible Value Imputation |
| tampv2datalist | Conversion of Plausible Value Object into Datalist |
| tam.se | Standard Error Estimation |
| tam.threshold | Calculation of Thurstonian Thresholds |
| TAM-utilities | Utility Functions in 'TAM' |
| tam.wle | Weighted Likelihood Estimation and Maximum Likelihood... |
| weighted_Stats | Descriptive Statistics for Weighted Data |
| WLErel | Reliability Estimation in 'TAM' |
