Re: [R] How to use nls when [selfStart] function returns NA or Inf??

Thanks Gabor, but my problem isn't finding reasonable starting parameter values, it's preventing nls giving up when it tries parameter values resulting in NA or Inf. I know queries are often over-specific and the appropriate response is don't start there, so I'm trying to balance between

Re: [R] How to use nls when [selfStart] function returns NA or Inf??

With good starting values it often won't need to try anything outside feasible region. If after trying better starting values you find that that it is still attempting to move outsie the feasible region then another approach is to use the boundary value plus some monotonic function of the

[R] How to use nls when [selfStart] function returns NA or Inf??

Hi Everyone, I posted this a couple of weeks ago with no responses. My interface (via gmane) seemed a bit flakey at the time, so I'm venturing to repost with some additional information. I'm trying to write selfStart non-linear models for use with nls. In these models some combinations of

Re: [R] How to use nls when [selfStart] function returns NA or Inf??

With a small number of parameters just use brute force on grid to calculate starting values. See nls2 package. On Mon, Sep 21, 2009 at 12:17 PM, Keith Jewell k.jew...@campden.co.uk wrote: Hi Everyone, I posted this a couple of weeks ago with no responses. My interface (via gmane) seemed a