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
RoxygenNote: 7.2.3
Depends: R (>= 3.5.0), SparseM (>= 1.83), methods, Matrix, data.table
        (>= 1.13.2), LiblineaR (>= 2.10-8)
Imports: glmnet (>= 4.0-2), glmnetUtils (>= 1.1.8), lme4 (>= 1.1-23),
        cluster (>= 2.1.3), pROC (>= 1.16.2), crayon, HDInterval (>=
        0.2.2)
Suggests: rmarkdown, knitr, utils, caret, ggplot2
NeedsCompilation: no
Packaged: 2024-07-01 19:00:46 UTC; ppavl
Author: Philip I. Pavlik Jr. [aut, ctb, cre]
    (<https://orcid.org/0000-0001-6467-9452>),
  Luke G. Eglington [aut, ctb] (<https://orcid.org/0000-0002-8432-9203>)
Maintainer: Philip I. Pavlik Jr. <imrryr@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-01 22:40:12 UTC
Built: R 4.4.0; ; 2024-07-01 23:50:59 UTC; unix
