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PredTest (version 0.1.0)

Preparing Data For, and Calculating the Prediction Test

Description

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.

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Version

Install

install.packages('PredTest')

Monthly Downloads

126

Version

0.1.0

License

MIT + file LICENSE

Maintainer

Neal Montgomery

Last Published

September 16th, 2024

Functions in PredTest (0.1.0)

solve_p0_score_ci

Calculate the Adjusted Proportion Estimate and Confidence Interval
pred_weights

Calculate Predictive Weights
pred_test

Predictive Test Function
group_cog_data

Group Cognitive Data
pre_post_data_example

Pre-Post Data Example
pred_adjusted

Adjusted Predictions Based on Group Comparisons
filter_by_time_var

Filter by Time Variable
get_results_vector

Get Results Vector
filter_by_group_var

Filter by Group Variable
create_difference_vector

Create a Difference Vector
pred_results

Predictive Results Wrapper Function
adjusted_example

Adjusted Example Dataset
group_data_example

Group Data Example
pre_post_fit

Pre-Post Fitness Data