Displaying 2 results from an estimated 2 matches for "llf".
Did you mean:
lld
2012 Aug 02
0
predictions from hurdle model
...response should reduce the overall mean below the non-zero
count mean.
I attached the relevant code and output below. Any thoughts or suggestions
would be much appreciated! I'm new to hurdle models and their
interpretation. Thank you,
Erin
> library(pscl)
> nbhurdle.prev<-hurdle(LLF.a~y.prev,data=full.cts,dist="negbin")
> summary(nbhurdle.prev)
Call:
hurdle(formula = LLF.a ~ y.prev, data = full.cts, dist = "negbin")
Pearson residuals:
Min 1Q Median 3Q Max
-0.6398 -0.3333 -0.3333 -0.1363 7.3145
Count model coefficients (truncated...
2012 Feb 22
0
Optim() maximum number of parameters
Hello,
I'm trying to maximize a likelihood function for a HMM with the optim()
function using the Nelder-Mead Method. The LLF has 20 Parameters which
are to be estimated. We found out that R changes some variables but not
all of them, especially the last 2 parameters aren't changed. I already
checked if I assign this parameters vales within the function but this
is not the case.
Is there a upper limit for the num...