torch_measure

A PyTorch-native toolkit for measurement science: Item Response Theory, Computerized Adaptive Testing, psychometric metrics, and factor models.

Getting Started

• Installation
  • Basic Install
  • Optional Dependencies
  • Development Install
• Quick Start
  • Fitting a Rasch Model
  • Loading a Benchmark Dataset
  • Running Adaptive Testing
  • Computing Psychometric Metrics

API Reference

• Models
  • Predictor
  • IRTModel
  • NetworkModel
  • cartesian_query()
  • predict_dense()
  • IsingModel
  • GaussianGraphicalModel
  • BradleyTerry
  • Rasch
  • TwoPL
  • ThreePL
  • BetaRasch
  • BetaTwoPL
  • AmortizedIRT
  • TabPFNPredictor
  • MultiFacetRasch
  • MultiFacet2PL
  • TestletRasch
  • LogisticFM
  • Bifactor
  • build_testlet_map()
  • varimax_rotation()
  • promax_rotation()
  • bifactor_rotation()
  • IRT Models
  • Beta IRT Models
  • Factor Models
  • Rotation Utilities
• Computerized Adaptive Testing
  • AdaptiveTester
  • fisher_information()
  • MaxInfoStrategy
  • RandomStrategy
  • SpanningStrategy
  • AdaptiveTester
  • fisher_information()
  • MaxInfoStrategy
  • SpanningStrategy
  • RandomStrategy
• Psychometric Metrics
  • tetrachoric_correlation()
  • point_biserial_correlation()
  • infit_statistics()
  • outfit_statistics()
  • item_total_correlation()
  • cronbach_alpha()
  • 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
  • Calibration
  • Scalability
• Data Utilities
  • PairwiseComparisons
  • ResponseMatrix
  • random_mask()
  • l_mask()
  • row_mask()
  • col_mask()
  • model_mask()
  • item_mask()
  • binarize()
  • normalize_rows()
  • ResponseMatrix
  • Masking

Tutorials

• Tutorials

Indices and tables

• Index

• Module Index

• Search Page