make_rejection: Determine rejections

In jmleach-bst/sim2Dpredictr: Simulate Outcomes Using Spatially Dependent Design Matrices

Determine rejections

Description

Determine rejections

Usage

make_rejection(B, reject.threshold, test.statistic)

Arguments

B	A vector of "true" parameter values. For inference purposes, this can be a vector of actual parameter values, or a binary vector indicating non-zero status.
reject.threshold	A list whose first element is the rejection criteria, e.g., the minimum t-statistic or maximum p-value for which to reject the null hypothesis. The second element is one of c("greater", "less", "2-tailed"), which tell the function to reject when the values in test.statistic are greater than or less than the threshold, the test is a 2-tailed, respectively. In the latter case the function internally calculates the upper or lower threshold needed for the 2-tailed test.
test.statistic	A vector of test statistics; e.g., t-statistics or p-values that are used to determine whether or not to reject the null hypothesis.

Value

A vector of hypothesis testing rejection indicators, where 1 indicates a rejection and 0 otherwise.

jmleach-bst/sim2Dpredictr documentation built on March 4, 2024, 5:57 p.m.