p_lmglmBI: p_lmglmBI, computation of log(mgf) of the log(lambdaBI)...
In chvrngit/wmpvaer: R Package, Multivariate p-Value Estimation: MANOVA,Block Independence & Bartlett's M ECM Test,Plus 1-Way MANOVA Study Design
Description
p_lmglmBI, computation of log(mgf) of the log(lambdaBI) statistic.
Usage
1
p_lmglmBI(s_hat, N, psqrd)
Arguments
s_hat,
The value needed for the first derivative to equal log(lambdaBI), found by function p_find_sBI
N
the number of columns in the data matrix
psqrd
A vector of squared eigenvalues
chvrngit/wmpvaer documentation built on Dec. 3, 2019, 12:14 p.m.
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Description
p_lmglmBI, computation of log(mgf) of the log(lambdaBI) statistic.
Usage
1 | p_lmglmBI(s_hat, N, psqrd)
|
Arguments
s_hat, |
The value needed for the first derivative to equal log(lambdaBI), found by function p_find_sBI |
N |
the number of columns in the data matrix |
psqrd |
A vector of squared eigenvalues |
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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