torch_measure¶
A PyTorch-native toolkit for measurement science: Item Response Theory, Computerized Adaptive Testing, psychometric metrics, and factor models.
Getting Started
API Reference
- Models
PredictorIRTModelNetworkModelcartesian_query()predict_dense()IsingModelGaussianGraphicalModelBradleyTerryRaschTwoPLThreePLBetaRaschBetaTwoPLAmortizedIRTMultiFacetRaschMultiFacet2PLTestletRaschLogisticFMBifactorbuild_testlet_map()varimax_rotation()promax_rotation()bifactor_rotation()NCFLLMJudge- IRT Models
- Beta IRT Models
- Factor Models
- Rotation Utilities
- Computerized Adaptive Testing
- Psychometric Metrics
tetrachoric_correlation()point_biserial_correlation()infit_statistics()outfit_statistics()item_total_correlation()cronbach_alpha()variance_components()g_coefficient()intraclass_correlation()d_study()bootstrap_variance_components()mokken_scalability()expected_calibration_error()brier_score()differential_item_functioning()ability_standard_errors()difficulty_standard_errors()discrimination_standard_errors()strength_centrality()expected_influence()closeness_centrality()betweenness_centrality()- Correlation
- Reliability
- Generalizability
- Calibration
- Scalability
- Data Utilities
Tutorials