spring: Fit the SPRING model

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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.

Author
Julien Chiquet
Date of publication
2014-03-25 15:17:34
Maintainer
Julien Chiquet <julien.chiquet@gmail.com>
License
GPL (>= 2)
Version
0.1-0

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Man pages

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"
spring-package
SPRING

Files in this package

spring/DESCRIPTION
spring/NAMESPACE
spring/R
spring/R/criterion-class.R
spring/R/model-class.R
spring/R/model_choice.R
spring/R/spring-class.R
spring/R/spring-package.R
spring/R/spring.R
spring/R/utils.R
spring/inst
spring/inst/examples
spring/inst/examples/bnapus.RData
spring/inst/examples/brassica.R
spring/inst/examples/cookies.R
spring/inst/examples/cookies.RData
spring/inst/examples/plot.R
spring/man
spring/man/criterion-class.Rd
spring/man/cv.spring.Rd
spring/man/diffOp.Rd
spring/man/model-class.Rd
spring/man/model.Rd
spring/man/pen.crit.Rd
spring/man/plot.criterion.Rd
spring/man/spring-class.Rd
spring/man/spring-package.Rd
spring/man/spring.Rd
spring/src
spring/src/Makevars
spring/src/Makevars.win
spring/src/coordinate_lasso.cpp
spring/src/coordinate_lasso.h