SPRING is a regularized method for multivariate linear regression with unknwon covariance which performs selection on direct links between predictors and responses. The selection is driven by prior structural information.
|Date of publication||2014-03-25 15:17:34|
|Maintainer||Julien Chiquet <firstname.lastname@example.org>|
|License||GPL (>= 2)|
criterion-class: Class "criterion"
cv.spring: Cross-validation function for spring fitting methods.
diffOp: Taken from genlasso package. Usefull to construct the...
model: Picking a model among a spring fit
model-class: Class "model"
pen.crit: Penalized criteria based on estimation of degrees of freedom
plot.criterion: Plot method for object criterion
spring: Adjust a multivariate regression with structuring, sparse...
spring-class: Class "spring"