fwgtmat: Weight Matrix for All Intersection Hypotheses
In lrstat: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond
fwgtmat R Documentation
Weight Matrix for All Intersection Hypotheses
Description
Obtains the weight matrix for all intersection hypotheses.
Usage
fwgtmat(w, G)
Arguments
w
The vector of weights for elementary hypotheses.
G
The transition matrix.
Value
The weight matrix starting with the global null hypothesis.
Author(s)
Kaifeng Lu, kaifenglu@gmail.com
Examples
w = c(0.5,0.5,0,0)
g = matrix(c(0,0,1,0, 0,0,0,1, 0,1,0,0, 1,0,0,0),
nrow=4, ncol=4, byrow=TRUE)
(wgtmat = fwgtmat(w,g))
lrstat documentation built on Oct. 18, 2024, 9:06 a.m.
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| fwgtmat | R Documentation |
Weight Matrix for All Intersection Hypotheses
Description
Obtains the weight matrix for all intersection hypotheses.
Usage
fwgtmat(w, G)
Arguments
w |
The vector of weights for elementary hypotheses. |
G |
The transition matrix. |
Value
The weight matrix starting with the global null hypothesis.
Author(s)
Kaifeng Lu, kaifenglu@gmail.com
Examples
w = c(0.5,0.5,0,0)
g = matrix(c(0,0,1,0, 0,0,0,1, 0,1,0,0, 1,0,0,0),
nrow=4, ncol=4, byrow=TRUE)
(wgtmat = fwgtmat(w,g))
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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