NEWS

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nlsr 2016-10.3

• name change to nlsr and consequent changes
• minor fixes

nlsr 2014-7.27

• Deriv() etc.
• model2rjfun() etc.
• changes to nlsrxb structure

nlsr 2014-7.19

• The parameters MUST be named when setting up model2resfun etc., but the resulting function can be called with an un-named vector of parameters.
• Name reset to reflect intent to substitute for nls()
• wrapnls replaced by wrapnlsr
• use of ... args replaced with data = mydata (dataframe)
• 1-sided models which start with the tilde are now allowed in nlsr functions.

nlsr 2013-8.26

• Relative offset convergence test (not exactly as in nls()) residual and jacobian in summary & print methods
• coef() method in nlmrt.R so names carried through
• summary() and print() cleanup
• partial and minor documentation improvement

nlsr 2013-8.10

• fix line length issue in examples

nlsr 2013-7.9

• Added control list elements to .Rd files for nlxb and nlfb, with reference in wrapnls.
• Put in a test for very small sum of squares in nlfb and nlxb.

nlsr 2013-3.16

• Result element coeffs changed to coefficients. This alters wrapnls.R code also.

nlsr 2012-9.03

• More features in summary().
• summary() for output from different functions. Should display constraints if possible as per JNMWS codes. Warnings / Notes fixed re: dependencies in vignette, methods.
• Sort out display in vignette Note warning "unstated dependencies in vignette"

nlsr 2012-8.12

• Bounds and masks examples in nlmrt-vignette.

nlsr 2012-8.04

• Vignette nlmrt-vignette updated.
• Functions to convert expression to residual, Jacobian, sum of squares and gradient functions (for use with optimx or nlmrt:nlfb or minpack.lm:nls.lm
• The examples in ./inst/examples/ are calling routines that have been renamed. These have, I believe, been fixed.
• nlfb() needs an explicit Jacobian function and needs a way to compute numerical Jacobian if omitted. Fixed, I believe.

nlsr 2012-6.01

• Removed diagnostic printout of bdmsk in nlfb

nlsr 2012-4.15

• Added nlfb to allow functions for residual and Jacobian. These are developed from the expression for the residuals as a model in nlxb.
• Bounds now in wrapnls.
• Note misleading trace output in nls() runs with bounds.