rpower: Power for regression (or any continuous outcome)

In pbreheny/breheny: Miscellaneous Functions

Power for regression (or any continuous outcome)

Description

Power for regression (or any continuous outcome)

Usage

rpower(rsq, n, k = 1, p = k, alpha = 0.05)

rsamsize(rsq, k = 1, p = k, power = 0.8, alpha = 0.05)

rpower_beta(rsq, beta)

Arguments

rsq	Fraction of variance explained by the features to be tested
n	Sample size
k	Number of parameters to test
p	Number of parameters in model (default: k)
alpha	Type 1 error rate
power	Desired power
beta	Beta coefficient

Examples

rpower(0.05, 40)
rpower(0.05, 40, 5)
rpower(0.05, 40, 5, 20)
rpower(0.05, 40, 5, 20)
rsamsize(0.05)

rpower_beta(0.1)
rpower_beta(beta=0.13)

pbreheny/breheny documentation built on Sept. 5, 2024, 6:45 p.m.