Package: PredTest 0.1.0
PredTest: Preparing Data For, and Calculating the Prediction Test
Global hypothesis tests combine information across multiple endpoints to test a single hypothesis. The prediction test is a recently proposed global hypothesis test with good performance for small sample sizes and many endpoints of interest. The test is also flexible in the types and combinations of expected results across the individual endpoints. This package provides functions for data processing and calculation of the prediction test.
Authors:
PredTest_0.1.0.tar.gz
PredTest_0.1.0.zip(r-4.5)PredTest_0.1.0.zip(r-4.4)PredTest_0.1.0.zip(r-4.3)
PredTest_0.1.0.tgz(r-4.5-any)PredTest_0.1.0.tgz(r-4.4-any)PredTest_0.1.0.tgz(r-4.3-any)
PredTest_0.1.0.tar.gz(r-4.5-noble)PredTest_0.1.0.tar.gz(r-4.4-noble)
PredTest_0.1.0.tgz(r-4.4-emscripten)PredTest_0.1.0.tgz(r-4.3-emscripten)
PredTest.pdf |PredTest.html✨
PredTest/json (API)
| # Install 'PredTest' in R: |
| install.packages('PredTest', repos = c('https://rnmontgomery.r-universe.dev', 'https://cloud.r-project.org')) |
- adjusted_example - Adjusted Example Dataset
- group_cog_data - Group Cognitive Data
- group_data_example - Group Data Example
- pre_post_data_example - Pre-Post Data Example
- pre_post_fit - Pre-Post Fitness Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 months agofrom:236738029b. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 14 2025 |
| R-4.5-win | OK | Feb 14 2025 |
| R-4.5-mac | OK | Feb 14 2025 |
| R-4.5-linux | OK | Feb 14 2025 |
| R-4.4-win | OK | Feb 14 2025 |
| R-4.4-mac | OK | Feb 14 2025 |
| R-4.3-win | OK | Feb 14 2025 |
| R-4.3-mac | OK | Feb 14 2025 |
Exports:create_difference_vectorfilter_by_group_varfilter_by_time_varget_results_vectorpred_adjustedpred_resultspred_testpred_weightssolve_p0_score_ci
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Adjusted Example Dataset | adjusted_example |
| Create a Difference Vector | create_difference_vector |
| Filter by Group Variable | filter_by_group_var |
| Filter by Time Variable | filter_by_time_var |
| Get Results Vector | get_results_vector |
| Group Cognitive Data | group_cog_data |
| Group Data Example | group_data_example |
| Pre-Post Data Example | pre_post_data_example |
| Pre-Post Fitness Data | pre_post_fit |
| Adjusted Predictions Based on Group Comparisons | pred_adjusted |
| Predictive Results Wrapper Function | pred_results |
| Predictive Test Function | pred_test |
| Calculate Predictive Weights | pred_weights |
| Calculate the Adjusted Proportion Estimate and Confidence Interval | solve_p0_score_ci |
