[R] seeking robust test for equality of variances w/ observation weights

of this weighted Levene test would be. Does anyone have any thoughts or suggestions, or know of a robust weighted hypothesis test for equality of variances? Thank you in advance for any advice you can provide, Alexis Diamond [EMAIL PROTECTED] [[alternative HTML version deleted

Re: [R] Optim with two constraints

Hello, I have a follow-up from Jens's question and Professor Ripley's response. Jens wants to do quadratic optimization with 2 constraints: # I need two constraints: # 1. each element in par needs to be between 0 and 1 # 2. sum(par)=1, i.e. the elements in par need to sum to 1 how

[R] ipop (kernlab) gives pars lower bound ?

hi everyone, ipop very quickly and accurately identifies the correct parameters in a toy dataset i built, but when i use ipop on the real dataset i get values for the parameters primal(res) that are less than zero, even though i specify zero for the lower bound : l = rep(0, length(c)) ,

Re: [R] ipop (kernlab) gives pars lower bound ?

) what should i make of the warning message discussed below? thanks again, alexis On 10/18/05, Alexis Diamond [EMAIL PROTECTED] wrote: hi everyone, ipop very quickly and accurately identifies the correct parameters in a toy dataset i built, but when i use ipop on the real dataset i get values