hdnom 4.6

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

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 4.2

v4.2

v4.2

hdnom 4.1

v4.1

email update

hdnom 4.0

Improvements

• More concrete examples for several functions
• Introduce argument ylim for plot.hdnom.validate(),
  plot.hdnom.external.validate(), and plot.hdnom.compare.validate()
  (#4).