Statistical Test for the Multivariate Point Null Hypotheses
Estimate both the parameter, and or the influence curves used for esti...
Estimate both the parameter, and the influence curves used for estimat...
A function used to calculate various L_p norms
This a function used to look at the IC.
This function is used to estimate the magnitude needed for a certain d...
Generate data using one of the four specified models from MCKEAGUE and...
Runs a multivariate point null test. This function returns an approxim...
A helper function that calculates the estimated p-value for a given ob...
Estimate the local acceptance rate
Add Other p-values
A helper function for mv_pn_test, calculating the test statistic for...
A helper function to estimate the power using the generated test stati...
A helper function to find the multiplicative distance of a specified a...
A helper function to generate a multiplier bootstrap sample
Helper function for the Zhang and Laber test.
Function for calculating the influence function used for the real data...
Pearson Correlation IC and estimate
Estimate both the parameter, and the influence curves used for estimat...
Estimate both the parameter, and the influence curves used for estimat...
Control function for the adaptive norm test
Carry out a simplified version of the Zhang and Laber test.
A testing framework for testing the multivariate point null hypothesis. A testing framework described in Elder et al. (2022) <arXiv:2203.01897> to test the multivariate point null hypothesis. After the user selects a parameter of interest and defines the assumed data generating mechanism, this information should be encoded in functions for the parameter estimator and its corresponding influence curve. Some parameter and data generating mechanism combinations have codings in this package, and are explained in detail in the article.