Logistic Knowledge Tracing

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Documentation for package ‘LKT’ version 2.0.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

buildLKTModel	Search for an LKT model specification
computefeatures	Compute an LKT feature vector
computeSpacingPredictors	Compute spacing predictors for LKT features
countOutcomeold	Count prior outcomes within an index
FastOnlineSimpleAdaptiveModel	Define the online adaptive LKT model
largerawsample	Raw Memphis DataShop sample
LASSOLKTData	Build LASSO input data for LKT feature search
LASSOLKTModel	Fit a LASSO-selected LKT model
LibLinearModel	Define the default LibLinear LKT model
LKT	Fit a logistic knowledge tracing model
LKTCustomModel	Define a custom LKT model
LKTFeatureInput	Create model-agnostic LKT feature input
LKTModelFit	Create an LKT model fit result
LKTOnlineSimpleAdaptiveDecayEval	Evaluate online simple-adaptive decay learning
LKTOnlineSimpleAdaptiveEval	Evaluate the fast online simple-adaptive objective
LKTOnlineSimpleAdaptiveGradient	Gradient for the fast online simple-adaptive objective
LKTOnlineSimpleAdaptiveInput	Fast online simple-adaptive objective input
LKTOptimizeOnlineSimpleAdaptive	Optimize the fast online simple-adaptive model
LKTOptimizeOnlineSimpleAdaptiveAlpha	Optimize only the online learning rates
LKTOptimizeOnlineSimpleAdaptiveDecayAlpha	Optimize online beta and decay learning rates
LKT_HDI	Estimate coefficient HDIs by bootstrap resampling
OnlineAdaptiveModel	Define the online adaptive LKT model
OnlineCalibrationModel	Define the online calibration LKT model
predict_lkt	Predict with an LKT model object
samplelkt	Sample practice trial sequences
smallSet	Sample a subset of students
ViewExcel	Open a data frame in the system spreadsheet viewer