LRcont: Compute Power for Logistic Regression with Continuous...

In pwr2ppl: Power Analyses for Common Designs (Power to the People)

Compute Power for Logistic Regression with Continuous Predictors

Description

Compute Power for Logistic Regression with Continuous Predictors

Usage

LRcont(OR = NA, r = NA, ER = NULL, alpha = 0.05, power = NULL, R2 = 0)

Arguments

OR	Odds Ratio for Predictor of Interest
r	Correlation for Predictor of Interest
ER	Event Ratio Probability of a Desirable Outcome Overall
alpha	Type I error (default is .05)
power	Desired Power
R2	How Well Predictor of Interest is Explained by Other Predictors (default is 0)

Value

Power for Logistic Regression with Continuous Predictors

Examples

LRcont(OR = 4.05, ER = .463,power=.95)

pwr2ppl documentation built on Sept. 6, 2022, 5:06 p.m.