hdnom 4.8 (2017-03-24)

Improvements

hdnom 4.7 (2017-03-24)

Improvements

  • Better code indentation style.
  • Reduced example running time for fused lasso.
  • Updated gallery images in README.md.
  • HTTPS enabled for the website.

hdnom 4.6 (2017-01-07)

Bug Fixes

  • Fixed issues in parameter tuning and cross-validation procedures for fused lasso models (afc49c9). The user-visible change is that two parameters lambda1 and lambda2 instead of a single “lambda” are now required to fit, validate, and calibrate fused lasso models.

Improvements

  • The argument lambda in hdnom.nomogram is no longer needed and has been deprecated.
  • Allow users to specify eps and max.iter for MCP and SCAD penalty related models. Setting the default values to be 1e-4 and 10000, which is consistent with ncvreg 3.8-0.

hdnom 4.5 (2016-12-24)

Bug Fixes

  • Fixed vanishing axis problem in Kaplan-Meier plot hdnom.kmplot() under ggplot2 2.2.0, which is caused by a previous workaround for a bug introduced in ggplot2 2.1.0.
  • Fixed potential convergence issues for examples under ncvreg >= 3.7-0 new convergence criterion, by increasing max.iter for ncvsurv to a substantially higher value (5e+4).
  • Fixed single lambda support issues in ncvsurv under ncvreg >= 3.7-0.

Improvements

  • Added Windows continuous integration using AppVeyor.
  • New website design for hdnom.org: consistent with the web application hdnom.io.

hdnom 4.0 (2016-07-05)

Improvements

hdnom 3.7 (2016-03-25)

Bug Fixes

  • Removed one redundant color from the lancet color palette.

hdnom 3.6 (2016-03-24)

New Features

  • Added 4 new color palettes (JCO, Lancet, NPG, AAAS) for all plots. See the vignette for details.

Bug Fixes

  • Fixed vanishing axis problem in Kaplan-Meier plot due to ggplot2 2.1.0 update.

Improvements

  • New CSS style for the HTML vignette.

hdnom 3.0 (2016-01-03)

New Features

Package

Web Application

  • The web application is substantially improved to reflect the new features
  • Record random seeds in the generated reports to improve reproducibility
  • Allow users to download the model objects for further exploration in R

Improvements

  • Improvements on random seed handling for internal validation and calibration
  • The vignette is extended to reflect the new features

Bug Fixes

  • Fixed an error in internal calibration which mistakenly used testing data when should use training data in computation

hdnom 2.1 (2015-10-26)

New Features

Improvements

  • Added exception handling for null models in all hdcox.*() functions. Make examples compatible with ncvreg 3.5-0, which refined CV implementation for survival models and improved computation speed.

hdnom 2.0 (2015-09-15)

New Features

  • Support five more high-dimensional penalized Cox model types:

  • Fused lasso
  • MCP
  • Mnet
  • SCAD
  • Snet

hdnom 1.2 (2015-08-27)

Improvements

hdnom 1.1 (2015-08-27)

Bug Fixes

hdnom 1.0 (2015-08-04)

New Features

  • Initial version
  • Nomograms for glmnet models
  • Validation for glmnet models
  • Calibration for glmnet models