Load data | AutoKC model search
Package: LKT 2.0.0
Philip I. Pavlik Jr.
LKT: Logistic Knowledge Tracing
Computes Logistic Knowledge Tracing ('LKT') which is a general method for tracking human learning in an educational software system. Please see Pavlik, Eglington, and Harrell-Williams (2021) <doi:10.1109/TLT.2021.3128569>. 'LKT' is a method to compute features of student data that are used as predictors of subsequent performance. 'LKT' allows great flexibility in the choice of predictive components and features computed for these predictive components. The system is built on top of 'LiblineaR', which enables extremely fast solutions compared to base glm() in R.
Authors:
LKT_2.0.0.tar.gz
LKT_2.0.0.zip(r-4.7-x86_64)LKT_2.0.0.zip(r-4.7-arm64)LKT_2.0.0.zip(r-4.6-x86_64)LKT_2.0.0.zip(r-4.6-arm64)LKT_2.0.0.zip(r-4.5-x86_64)
LKT_2.0.0.tgz(r-4.6-x86_64)LKT_2.0.0.tgz(r-4.6-arm64)LKT_2.0.0.tgz(r-4.5-x86_64)LKT_2.0.0.tgz(r-4.5-arm64)
LKT_2.0.0.tar.gz(r-4.7-arm64)LKT_2.0.0.tar.gz(r-4.7-x86_64)LKT_2.0.0.tar.gz(r-4.6-arm64)LKT_2.0.0.tar.gz(r-4.6-x86_64)
LKT_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
LKT/json (API)
| # Install 'LKT' in R: |
| install.packages('LKT', repos = c('https://optimal-learning-lab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/optimal-learning-lab/lkt/issues
Datasets:
- largerawsample - Raw Memphis DataShop sample
- samplelkt - Sample practice trial sequences
Last updated from:e6810522c2. Checks:4 NOTE, 11 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 169 | ||
| linux-devel-x86_64 | NOTE | 250 | ||
| source / vignettes | OK | 218 | ||
| linux-release-arm64 | OK | 139 | ||
| linux-release-x86_64 | OK | 141 | ||
| macos-release-arm64 | OK | 348 | ||
| macos-release-x86_64 | OK | 367 | ||
| macos-oldrel-arm64 | OK | 320 | ||
| macos-oldrel-x86_64 | OK | 436 | ||
| windows-devel-arm64 | NOTE | 384 | ||
| windows-devel-x86_64 | NOTE | 156 | ||
| windows-release-arm64 | OK | 389 | ||
| windows-release-x86_64 | OK | 118 | ||
| windows-oldrel-x86_64 | OK | 141 | ||
| wasm-release | OK | 101 |
Exports:buildLKTModelcomputefeaturescomputeSpacingPredictorscountOutcomeoldFastOnlineSimpleAdaptiveModelLASSOLKTDataLASSOLKTModelLibLinearModelLKTLKT_HDILKTCustomModelLKTFeatureInputLKTModelFitLKTOnlineSimpleAdaptiveDecayEvalLKTOnlineSimpleAdaptiveEvalLKTOnlineSimpleAdaptiveGradientLKTOnlineSimpleAdaptiveInputLKTOptimizeOnlineSimpleAdaptiveLKTOptimizeOnlineSimpleAdaptiveAlphaLKTOptimizeOnlineSimpleAdaptiveDecayAlphaOnlineAdaptiveModelOnlineCalibrationModelpredict_lktsmallSetViewExcel
Dependencies:bootclustercodetoolscrayondata.tableforeachglmnetHDIntervaliteratorslatticeLiblineaRlme4MASSMatrixminqanlmenloptrpROCrbibutilsRcppRcppEigenRdpackreformulasshapeSparseMsurvival
Examples: AutoKC
Last update: 2026-07-11
Started: 2026-06-11
Examples: Basic LKT Models
Load data | Spacing predictor fixture | API boundary checks | Additive Factors Model | Performance Factors Analysis | Difficulty-sensitive PFA
Last update: 2026-07-11
Started: 2026-06-11
Examples: buildLKTModel Default KC Feature Search
Load data | Search Default KC Features
Last update: 2026-07-11
Started: 2026-06-25
Examples: Credibility Intervals
Load data | Credibility intervals
Last update: 2026-07-11
Started: 2026-06-11
Examples: LASSOLKT
Load data | LASSOLKT
Last update: 2026-07-11
Started: 2026-06-11
Examples: LASSOLKT Preset
Load data | LASSOLKT with preset
Last update: 2026-07-11
Started: 2026-06-11
Examples: Model Interface
Load data | Custom model using shared feature input | Prediction-only model | Model contract failures
Last update: 2026-07-11
Started: 2026-06-11
Examples: Recency and Decay with Online Beta Update
Load data | Recent Performance Factors Analysis | Recency tracing with logitdec | Recency tracing with transfer from cluster | Performance Prediction Equation | base4
Last update: 2026-07-11
Started: 2026-06-11
Examples: Simple Adaptive with Global Intercept
Load data | Logistic Simple Adaptive Model | Online Beta Update Simple Adaptive Model | LibLinear vs Online Beta Update Comparison | Diagnostic: Confirm the Global Intercept Exclusion Changes the Online Model
Last update: 2026-07-11
Started: 2026-06-11
Examples: Special Features
Load data | brpropdec | Simple adaptive model for practice optimization | KC intercepts across time | Astonishing model | Build LKT with special feature
Last update: 2026-07-11
Started: 2026-06-11
Examples: buildLKTModel Nonlinear Search
Load data | Nonlinear search parameter retention
Last update: 2026-06-11
Started: 2026-06-11
Examples: Interactions and Connectors
Load data | Simple interactions | Individualized Additive Factors Model | Connectors
Last update: 2026-06-11
Started: 2026-06-11
Examples: nosolve Model Matrix
Load data | Return the model matrix
Last update: 2026-06-11
Started: 2026-06-11
Examples: Online Adaptive Search
Load data | Static LKT Baseline | Legacy Fast Objective Check | General Online Adaptive Adapter | General Native Beta Adapter
Last update: 2026-06-11
Started: 2026-06-11
Examples: Recency and Decay
Load data | Recent Performance Factors Analysis | Recency tracing with logitdec | Recency tracing with transfer from cluster | Performance Prediction Equation | base4
Last update: 2026-06-11
Started: 2026-06-11
Examples: RPFA propdec2 Original
Load data | Recency tracing with RPFA propdec2
Last update: 2026-06-11
Started: 2026-06-11
Examples: Synthetic Discrimination
Load data | Synthetic discrimination parameter testing
Last update: 2026-06-11
Started: 2026-06-11
Basic_Operations
LKT (Logistic Knowledge Tracing) Framework | Component Level | Features | Feature Types | Learner Data Requirements | Main Function: computeSpacingPredictors | Example Data
Last update: 2024-06-26
Started: 2020-10-11
