spring: Fit the SPRING model

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.

AuthorJulien Chiquet
Date of publication2014-03-25 15:17:34
MaintainerJulien Chiquet <julien.chiquet@gmail.com>
LicenseGPL (>= 2)
Version0.1-0

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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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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