The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.