Package: PredPsych 0.4
PredPsych: Predictive Approaches in Psychology
Recent years have seen an increased interest in novel methods for analyzing quantitative data from experimental psychology. Currently, however, they lack an established and accessible software framework. Many existing implementations provide no guidelines, consisting of small code snippets, or sets of packages. In addition, the use of existing packages often requires advanced programming experience. 'PredPsych' is a user-friendly toolbox based on machine learning predictive algorithms. It comprises of multiple functionalities for multivariate analyses of quantitative behavioral data based on machine learning models.
Authors:
PredPsych_0.4.tar.gz
PredPsych_0.4.zip(r-4.5)PredPsych_0.4.zip(r-4.4)PredPsych_0.4.zip(r-4.3)
PredPsych_0.4.tgz(r-4.4-any)PredPsych_0.4.tgz(r-4.3-any)
PredPsych_0.4.tar.gz(r-4.5-noble)PredPsych_0.4.tar.gz(r-4.4-noble)
PredPsych_0.4.tgz(r-4.4-emscripten)PredPsych_0.4.tgz(r-4.3-emscripten)
PredPsych.pdf |PredPsych.html✨
PredPsych/json (API)
| # Install 'PredPsych' in R: |
| install.packages('PredPsych', repos = c('https://ateshkoul.r-universe.dev', 'https://cloud.r-project.org')) |
- KinData - Kinematics Dataset A dataset containing part of the motion capture dataset freely available in the publication (Ansuini et al., 2015).The dataset was obtained by recording 15 naive participants performing reach-to-grasp movements towards two differently sized objects: a small object (i.e., hazelnut) and a large object (i.e., grapefruit). The variables are as follows:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:3f852bc59d. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-win | OK | Oct 29 2024 |
| R-4.5-linux | OK | Oct 29 2024 |
| R-4.4-win | OK | Oct 29 2024 |
| R-4.4-mac | OK | Oct 29 2024 |
| R-4.3-win | OK | Oct 29 2024 |
| R-4.3-mac | OK | Oct 29 2024 |
Exports:classifyFunClassPermDimensionRedDTModelfscoreLinearDAModelClusteroverallConfusionMetricspredictNewData
Dependencies:caretclasscliclockcodetoolscoincolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalibcoinlifecyclelistenvlubridatemagrittrMASSMatrixmatrixStatsmclustmgcvModelMetricsmodeltoolsmultcompmunsellmvtnormnlmennetnumDerivparallellypartypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6randomForestRColorBrewerRcpprecipesreshape2rlangrpartsandwichscalesshapeSQUAREMstatmodstringistringrstrucchangesurvivalTH.datatibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrzoo
