power.calc: Calculates the empirical and theoretical power
In kwesterman/ESPRESSO.GxE.RV: Power analysis and sample size calculation for a multi-variant gene-environment interaction model
power.calc R Documentation
Calculates the empirical and theoretical power
Description
The function determines the empirical and theoretical power.
The empirical power is the proportion of simulations in which
the z-statistic for the parameter of interest exceeds the z-statistic
for the desured level if statistical significance.
The theoretical power is the power of the study.
Usage
power.calc(pval.thresh = NULL, p.values = NULL)
Arguments
pval.thresh
cut-off p-value defining statistical significance.
p.values
Vector of p-values (one per genetic variant).
Value
a list that contains the computed empirical power and theoretical power.
Author(s)
Gaye A.; Westerman K.
kwesterman/ESPRESSO.GxE.RV documentation built on Aug. 27, 2023, 4:44 a.m.
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| power.calc | R Documentation |
Calculates the empirical and theoretical power
Description
The function determines the empirical and theoretical power. The empirical power is the proportion of simulations in which the z-statistic for the parameter of interest exceeds the z-statistic for the desured level if statistical significance. The theoretical power is the power of the study.
Usage
power.calc(pval.thresh = NULL, p.values = NULL)
Arguments
pval.thresh |
cut-off p-value defining statistical significance. |
p.values |
Vector of p-values (one per genetic variant). |
Value
a list that contains the computed empirical power and theoretical power.
Author(s)
Gaye A.; Westerman K.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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