Software

  R package:

• amgfl (Github)
  • Trend estimations by semiparametric additive model with graph trend filtering via generalized fused Lasso.
  • Building simultaneous confidence intervals via the bootstrap.
• GFLglm (Github)
  • Coordinate descent algorithm to solve generalized fused Lasso problem for generalized linear models.
  • This package includes the R package GFLlogit.
• GFLlogit (Github)
  • A multivariate trend filtering for binary data via generalzied fused Lasso.
• GGFL (Github)
  • An estimation for discrete varying coefficient model via generalized group fused Lasso.
  • A grouping for linear regression models based on adjacent relationship among groups.
• GRRMSC (Github)
  • A fast optimization of ridge parameters for generalized ridge regression via model selection criterion minimization methods.
  • This package covers optimizations for a partial generalized ridge regression and an additive model.
• trec (Github)
  • Trend estimation and classification to support integrated assessment of the marine ecosystem and environmental factors.