additive_regression: Fit sparse BLIN model D is matrix of lagged Y (covariates) Y...
In blin: Bipartite Longitudinal Influence Network (BLIN) Estimation
View source: R/fitting_functions.R
Description
Fit sparse BLIN model
D is matrix of lagged Y (covariates)
Y is oservations
X is covariates
for multiple time periods
Returns A, B, beta, Yhat
Usage
1
2
additive_regression(Y, X, lag, type = "biten", use_cov = TRUE,
penalty = 1, whichlambda = "min")
blin documentation built on May 2, 2019, 7:05 a.m.
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View source: R/fitting_functions.R
Description
Fit sparse BLIN model D is matrix of lagged Y (covariates) Y is oservations X is covariates for multiple time periods Returns A, B, beta, Yhat
Usage
1 2 | additive_regression(Y, X, lag, type = "biten", use_cov = TRUE,
penalty = 1, whichlambda = "min")
|
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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