search for: loglik0

...HKSEP(20) LCONVERGE(0) PCONVERGE(0.000001) SINGULAR(0.00000001) /MODEL /STEPWISE=PIN(.05) POUT(0.1) MINEFFECT(0) RULE(SINGLE) ENTRYMETHOD(LR) REMOVALMETHOD(LR) /INTERCEPT=INCLUDE /PRINT=FIT PARAMETER SUMMARY LRT CPS STEP MFI IC. ', file=syntaxfile, sep="", append=F) -> Loglik0: 135.02 -> Loglik1: 129.80 Thanks, S?ren

Dear List, I am looking for a possibility to fit a mixture model under R using maximum likelihood estimation. Venables and Ripley describe a solution working under S+ (in MASS, 3. ed., p. 263) which requires the D system function and deriv3. This solution does not seem to be portable to R or at least I do not realise how. Is there anyone who a) knows how one could make the MASS-method run under

...now supported for replacement as well as extraction. o setNames() now has a default for its object argument, useful for a character result. o StructTS() has a revised additive constant in the loglik component of the result: the previous definition is returned as the loglik0 component. However, the help page has always warned of a lack of comparability of log-likelihoods for non-stationary models. (Suggested by Jouni Helske.) o The logic in aggregate.formula() has been revised. It is now possible to use a formula stored in a variable; previous...

...now supported for replacement as well as extraction. o setNames() now has a default for its object argument, useful for a character result. o StructTS() has a revised additive constant in the loglik component of the result: the previous definition is returned as the loglik0 component. However, the help page has always warned of a lack of comparability of log-likelihoods for non-stationary models. (Suggested by Jouni Helske.) o The logic in aggregate.formula() has been revised. It is now possible to use a formula stored in a variable; previous...