Package: LKT
Title: Logistic Knowledge Tracing
Version: 1.7.0
Authors@R: 
    c(person(given = "Philip I.",
           family = "Pavlik Jr.",
           role = c("aut","ctb","cre"),
           email = "imrryr@gmail.com",
           comment = c(ORCID = "0000-0001-6467-9452")),
      person(given = "Luke G.",
           family = "Eglington",
           role = c("aut","ctb"),
           email = "luke.eglington.mail@gmail.com",
           comment = c(ORCID = "0000-0002-8432-9203"))
           )
Description: Computes Logistic Knowledge Tracing ('LKT') which is a
        general method for tracking human learning in an educational
        software system. Please see Pavlik, Eglington, and
        Harrel-Williams (2021)
        <https://ieeexplore.ieee.org/document/9616435>. '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.
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Collate: 'LKT-package.R' 'data.R' 'lkt-feature-input.R'
        'lkt-feature-computation.R' 'lkt-model-interface.R'
        'lkt-model-liblinear.R' 'lkt-model-online-calibration.R'
        'lkt-fast-online-simple-adaptive.R' 'lkt-latency.R'
        'lkt-prediction.R' 'LKTfunctions.R' 'lkt-hdi.R' 'lkt-search.R'
Depends: R (>= 3.5.0), SparseM (>= 1.83), methods, Matrix, data.table
        (>= 1.13.2), LiblineaR (>= 2.10-8)
Imports: glmnet (>= 4.0-2), lme4 (>= 1.1-23), cluster (>= 2.1.3), pROC
        (>= 1.16.2), crayon, HDInterval (>= 0.2.2)
Suggests: rmarkdown, knitr, utils, caret, ggplot2
Config/pak/sysreqs: cmake make
Repository: https://optimal-learning-lab.r-universe.dev
Date/Publication: 2026-06-25 22:51:38 UTC
RemoteUrl: https://github.com/optimal-learning-lab/lkt
RemoteRef: HEAD
RemoteSha: 7231b4f8847c6c425ac69da7041d64829e4e4b23
NeedsCompilation: yes
Packaged: 2026-06-25 23:55:13 UTC; root
Author: Philip I. Pavlik Jr. [aut, ctb, cre] (ORCID:
    <https://orcid.org/0000-0001-6467-9452>),
  Luke G. Eglington [aut, ctb] (ORCID:
    <https://orcid.org/0000-0002-8432-9203>)
Maintainer: Philip I. Pavlik Jr. <imrryr@gmail.com>