Package: modelfree 1.2.1
modelfree: Model-Free Estimation of a Psychometric Function
Local linear estimation of psychometric functions. Provides functions for nonparametric estimation of a psychometric function and for estimation of a derived threshold and slope, and their standard deviations and confidence intervals.For more details see Zychaluk and Foster (2009) <doi:10.3758/APP.71.6.1414> and Foster and Zychaluk (2007) <doi:10.1109/MSP.2007.4286564>.
Authors:
modelfree_1.2.1.tar.gz
modelfree_1.2.1.zip(r-4.7)modelfree_1.2.1.zip(r-4.6)modelfree_1.2.1.zip(r-4.5)
modelfree_1.2.1.tgz(r-4.6-any)modelfree_1.2.1.tgz(r-4.5-any)
modelfree_1.2.1.tar.gz(r-4.7-any)modelfree_1.2.1.tar.gz(r-4.6-any)
modelfree_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
modelfree/json (API)
| # Install 'modelfree' in R: |
| install.packages('modelfree', repos = c('https://kzychaluk.r-universe.dev', 'https://cloud.r-project.org')) |
- Baker_etal - Auditory detection of a gap in noise
- Carcagno - Discrimination of pitch
- Levi_Tripathy - Visual detection of path deviation
- Miranda_Henson - Detection of a flash of light
- Nascimento_etal - Discrimination of image approximations
- Schofield_etal - Induction of a visual motion aftereffect
- Xie_Griffin - Discrimination of "porthole" views of natural scenes
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:8cd4bb4412. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 112 | ||
| source / vignettes | OK | 164 | ||
| linux-release-x86_64 | OK | 105 | ||
| macos-release-arm64 | OK | 148 | ||
| macos-oldrel-arm64 | OK | 162 | ||
| windows-devel | OK | 77 | ||
| windows-release | OK | 76 | ||
| windows-oldrel | OK | 65 | ||
| wasm-release | OK | 106 |
Exports:bandwidth_bootstrapbandwidth_cross_validationbandwidth_pluginbinom_limsbinom_revweibbinom_weibbinomfit_limsbootstrap_ci_slbootstrap_ci_thbootstrap_sd_slbootstrap_sd_thdeviance2locglmfitthreshold_slope
