powerBinGlmRand: Power analysis for binomial generalised linear model with two...
In LiamKeeble/powR: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Description
Power analysis for binomial generalised linear model with two level categorical predictor and random intercept
Usage
1
powerBinGlmRand(n, f, ind, iter = 100)
Arguments
n
total number of trials
f
effect size
ind
number of participants
iter
number of iterations of model 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 analysis for binomial generalised linear model with two level categorical predictor and random intercept
Usage
1 | powerBinGlmRand(n, f, ind, iter = 100)
|
Arguments
n |
total number of trials |
f |
effect size |
ind |
number of participants |
iter |
number of iterations of model 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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