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NEWS.md

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gslnls 1.4.1

  • Fixed compatibility GSL versions < 2.5

gslnls 1.4.0

  • Robust loss optimization added in gsl_nls() via argument loss
  • weights in gsl_nls() accepts a matrix (in addition to a vector) in which case the objective function is generalized least squares
  • Added new function gsl_nls_loss()
  • Added new method cooks.distance()
  • Minor changes in predict() and hatvalues() for weighted NLS

gslnls 1.3.3

  • Fix standard errors predict() when using newdata

gslnls 1.3.2

  • Reverted to static Makevars.win (supplied by T. Kalibera)
  • Added new method hatvalues()

gslnls 1.3.1

  • Minor edits configure.ac to fix cran check results

gslnls 1.3.0

  • Missing starting values/ranges allowed in gsl_nls()
  • lower and upper parameter constraints included in gsl_nls()
  • Added 3 regression problems from Bates & Watts (1988)
  • Updated multi-start algorithm in gsl_nls()
  • Added configure.win, cleanup.win and Makevars.win.in
  • Removed old Makevars and Makevars.win
  • Several minor changes

gslnls 1.2.0

  • Added multi-start algorithm to gsl_nls()
  • Added 56 NLS regression and optimization test problems
  • Added unit tests in folder unit_tests
  • Several minor changes/fixes

gslnls 1.1.1

  • Clean exits gsl_nls() and gsl_nls_large() when interrupted
  • Default algorithm in gsl_nls_large() set to "lm"

gslnls 1.1.0

  • Added large-scale NLS regression with gsl_nls_large()

gslnls 1.0.2

  • Added Makevars.ucrt

gslnls 1.0.1

  • Initial release