ic.pearson: Pearson Correlation IC and estimate

In adam-s-elder/amar: Statistical Test for the Multivariate Point Null Hypotheses

Description

This function takes a set of observations, and returns an estimate and its corresponding estimated IC matrix for the estimates of the pearson correlation. Estimates of the covariance are generated using the empirical influence function. The first column of your data should correspond to the variable of interest (the variable for which pearson correlation is calculated).

Usage

ic.pearson(observ, what = "both", control = NULL)

Arguments

observ	the observed data. The first column should be the outcome.
what	the desired return value. Should be one of '"ic"' (infludence curve), '"est"' (estimate), or '"both"'.
control	any other control parameters to be passed to the estimator.

adam-s-elder/amar documentation built on Feb. 5, 2022, 7:10 a.m.