from: Fit object (inheriting from class "HLfit") from which fitted values are taken.
template: Another fit object. Usage with a template fit object is suitable for refitting this object using fitted values from the from object as starting values.
to_fn: NULL or character: the name of the function to be used the next fit. If NULL, taken from template (if available), else from from. It is meaningful to provide a to_fn distinct from the function used to fit a template.
inner_lambdas: Boolean; Whether the output should include estimates of the dispersion parameters estimated by the iterative methods implemented in HLfit.
Returns
A list with elements - init, init.corrHLfit: (depending on the fitting function) giving initial values for outer-optimization;
init.HLfit: giving initial values for the iterative algorithms in HLfit. It is itself a list with possible elements:
fixef: for the coefficients of the linear predictor, adjusted to the format of the coefficients of the linear predictor of the template object, if available;
ranCoefs: random-coefficients parameters (if not outer-optimized).
See Also
get_ranPars and VarCorr.
Examples
## Not run:data("blackcap")(corrhlfit <- corrHLfit(migStatus ~ means+ Matern(1|longitude+latitude),data=blackcap, method="ML"))inits <- get_inits_from_fit(corrhlfit, to_fn ="fitme")(fitfit <- fitme(migStatus ~ means+ Matern(1|longitude+latitude),data=blackcap, init=inits[["init"]]))inits <- get_inits_from_fit(corrhlfit, template = fitfit)fitme(migStatus ~ means+ Matern(1|longitude+latitude),data=blackcap, init=inits[["init"]])# In these examples, inits$init.HLfit is useless # as it is ignored when LMMs are fitted by fitme().## End(Not run)