personalized 0.1.5 Unreleased

  • Added printing of subgroup_validated results for quantile cutoffs via the which.quant argument

personalized 0.1.4 2018-03-08

  • Added plots of means within treatment groups as the benefit scores are varied
  • Added quantile and median cutpoints as options
  • Fixes subgroup effect calculation to account for weights

personalized 0.1.3 2018-01-30

  • Added NSW Study dataset

personalized 0.1.2 2017-11-28

  • Added requirement for latest version of glmnet. old versions throw error when efficiency augmentation used

personalized 0.1.1 2017-10-25

  • Fixed minor bugs regarding multiple treatment options, match.id

  • Added OWL-type losses: logistic and hinge surrogates (multiple treatment available for logistic surrogate)

  • Added outcome flipping OWL-type losses: logistic and hinge surrogates

  • Added augmentation option for non-continuous outcomes via offset

personalized 0.1.0 2017-09-26

  • Added estimation functionality for multiple treatments

  • Updated all plot and summary type functions to properly handle results for multiple treatments

  • Aaron added plotting option for validation objects that allows the user to inspect the distribution of variable selections over the bootstrap or training/test resampling iterations

  • Added more options to printing of validation objects

  • Updated check.overlap() to handle multiple treatments

  • Aaron added match.id argument to allow proper analysis of matched case-control datasets