fwer_sim: Simulate data as in Clarke, Romano & Wolf (2019) to simulate...
In wildrwolf: Fast Computation of Romano-Wolf Corrected p-Values for Linear Regression Models
fwer_sim R Documentation
Simulate data as in Clarke, Romano & Wolf (2019) to simulate family wise
error rates (FWERs)
Description
Simulate data as in Clarke, Romano & Wolf (2019) to simulate family wise
error rates (FWERs)
Usage
fwer_sim(rho, N, s, B, G = 20)
Arguments
rho
The correlation between the outcome variables
N
The number of observations
s
The number of dependent variables
B
The number of bootstrap draws e
G
The number of clusters. If NULL, no clustering.
Value
A 'data.frame' containing unadjusted p-values & p-values adjusted using the
methods by Holm and Romano & Wolf (2005), with the following columns
wildrwolf documentation built on March 7, 2023, 5:37 p.m.
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| fwer_sim | R Documentation |
Simulate data as in Clarke, Romano & Wolf (2019) to simulate family wise error rates (FWERs)
Description
Simulate data as in Clarke, Romano & Wolf (2019) to simulate family wise error rates (FWERs)
Usage
fwer_sim(rho, N, s, B, G = 20)
Arguments
rho |
The correlation between the outcome variables |
N |
The number of observations |
s |
The number of dependent variables |
B |
The number of bootstrap draws e |
G |
The number of clusters. If NULL, no clustering. |
Value
A 'data.frame' containing unadjusted p-values & p-values adjusted using the methods by Holm and Romano & Wolf (2005), with the following columns
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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