powerBinGlm: Power simulation for binomial generalised linear model with...
In LiamKeeble/powR: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Description
Power simulation for binomial generalised linear model with two level categorical predictor
Usage
1
powerBinGlm(n, f, iter = 100)
Arguments
n
sample size
f
effect size
iter
number of iterations of simulation
Value
statistical power value for model
LiamKeeble/powR documentation built on Dec. 18, 2021, 4:36 a.m.
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Description Usage Arguments Value
Description
Power simulation for binomial generalised linear model with two level categorical predictor
Usage
1 | powerBinGlm(n, f, iter = 100)
|
Arguments
n |
sample size |
f |
effect size |
iter |
number of iterations of simulation |
Value
statistical power value for model
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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