data.hub: Data Analysis using penalized hub model
In zhibinghe/Phub: modified EM algorithm for Penalized Hub Model
data.hub R Documentation
Data Analysis using penalized hub model
Description
Data Analysis using penalized hub model
Usage
data.hub(data, M, Lam, bootstrap = 0)
Arguments
data
observed group data, the first M colunmns are corresponding to hub nodes
M
size of potential hub set
Lam
a vector of tunning parameter \lambda
bootstrap
number of bootstrap times
Value
a matrix of hub nodes weight for different Lam
Examples
data(bakery5000)
Lam = seq(0.015,0.035,0.005)
data.hub(bakery5000,40,Lam,0) # full data
data.hub(bakery5000,40,Lam,2) # bootstrapped data
zhibinghe/Phub documentation built on Feb. 21, 2025, 11:52 a.m.
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| data.hub | R Documentation |
Data Analysis using penalized hub model
Description
Data Analysis using penalized hub model
Usage
data.hub(data, M, Lam, bootstrap = 0)
Arguments
data |
observed group data, the first |
M |
size of potential hub set |
Lam |
a vector of tunning parameter |
bootstrap |
number of bootstrap times |
Value
a matrix of hub nodes weight for different Lam
Examples
data(bakery5000)
Lam = seq(0.015,0.035,0.005)
data.hub(bakery5000,40,Lam,0) # full data
data.hub(bakery5000,40,Lam,2) # bootstrapped data
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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