KernSmoothIRT

cranv6.4

Nonparametric Item Response Theory. Fits nonparametric item and option characteristic curves using kernel smoothing. It allows for optimal selection of the smoothing bandwidth using cross-validation and a variety of exploratory plotting tools. The kernel smoothing is based on methods described in Silverman, B.W. (1986). Density Estima

License GPL-2strong copyleft0 versions1 maintainers4 deps86 weekly dl
https://CRAN.R-project.org/package=KernSmoothIRT
39
/ 100
Health
use with caution

[email protected] low health (39/100) — consider alternatives

  • Low health score (39/100)
Health breakdown0 – 100
0/25
maintenance
0/20
popularity
25/25
security
12/15
maturity
2/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

License Audit

Dependencies (4)
API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/cran/KernSmoothIRT

First published · 2020-02-17 10:20:29

Last updated · 2020-02-17T08:20:05+00:00

KernSmoothIRT — Health Score 39/100 | DepScope