CRAN/E | LKT

LKT

Logistic Knowledge Tracing

Installation

About

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) . '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.

Key Metrics

Version 1.6.0
R ≥ 3.5.0
Published 2023-12-11 109 days ago
Needs compilation? no
License GPL-3
CRAN checks LKT results

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Maintainer

Maintainer

Philip I. Pavlik Jr.

imrryr@gmail.com

Authors

Philip I. Pavlik Jr.

aut / ctb / cre

Luke G. Eglington

aut / ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

Basic_Operations
Examples

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

LKT archive

Depends

R ≥ 3.5.0
SparseM ≥ 1.78
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