LUCIDus 2.1.5

New features

  1. Add progress bar for boot.lucid function to track how many iterations are done.
  2. Add verbose parameter in est.lucid to disable automatic output in R console.

Other changes

  1. Fix bug for boot.lucid
  2. Fix bug for predict_lucid

LUCIDus 2.1.4

New features

  1. est.lucid is enhanced to:
  1. New function lucid, a wrapper function to perform model selection over grid of K and penalty terms.
  2. plot.lucid: new option to change color for nodes and lines
  3. boot.lucid: return original output from boot::boot to allow user plot diagnostic figures.

Other changes

  1. Use log-sum-exponential trick and update the likelihood function to avoid under/overflow
  2. Major bug fixes for boot.lucid function
  3. Update simulated dataset
  4. Update corresponding examples in documentation.

LUCIDus 2.1.0

New features

A new variable selection framework is applied to LUCID. * A lasso type penalty is applied on the mean of biomarkers * A glasso method is applied on the variance-covariance structure to achieve sparsity covariance matrix * We apply a new variable selection criteria, which takes both mean and coviarnce matrix of biomarkers into account.

Other changes

LUCIDus 2.0.0

This is a feature update to the whole package. It rewrite all the codes to make the model fitting procedure much faster (10 to 50 times) than v1.0.0. Also, the grammar of LUCID changed to a more user-friendly version. (Please note, this version is not backward compatible)

New features

Other changes