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LKT  

Logistic Knowledge Tracing
View on CRAN: Click here


Download and install LKT package within the R console
Install from CRAN:
install.packages("LKT")

Install from Github:
library("remotes")
install_github("cran/LKT")

Install by package version:
library("remotes")
install_version("LKT", "1.7.0")



Attach the package and use:
library("LKT")
Maintained by
Philip I. Pavlik Jr.
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-07
Latest Update: 2023-12-11
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) . '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.
How to cite:
Philip I. Pavlik Jr. (2021). LKT: Logistic Knowledge Tracing. R package version 1.7.0, https://cran.r-project.org/web/packages/LKT. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.1 (2021-11-29 08:40), 1.0 (2021-06-07 09:00), 1.1.0 (2022-02-21 14:30), 1.2.0 (2022-07-15 15:00), 1.3.0 (2022-10-10 20:10), 1.5.0 (2023-05-25 09:20), 1.6.0 (2023-12-11 16:50)
Other packages that cited LKT R package
View LKT citation profile
Other R packages that LKT depends, imports, suggests or enhances
Complete documentation for LKT
Functions, R codes and Examples using the LKT R package
Some associated functions: LKT . LKT_HDI . ViewExcel . computeSpacingPredictors . computefeatures . countOutcome . largerawsample . samplelkt . smallSet . 
Some associated R codes: LKTfunctions.R . data.R .  Full LKT package functions and examples
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