Displaying 3 results from an estimated 3 matches for "llr".
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lld
2010 Feb 07
2
predicting with stl() decomposition
...th=300)
noise <- rnorm(300,0,2)
time <- 1:300
series[1] <- noise[1]
for(i in 3:300){
series[i] <- 0.5*series[i-1]+ noise[i] + 0.01*time[i]
}
seriesTs <- ts(series, start=c(1980,1), frequency=12)
decomp <- stl(seriesTs ,"periodic")
plot(decomp)
llrSaison <- loess(seriesTs~time , span=decomp$win[1] ,
degree=decomp$deg[1])
llrTrend <- loess(seriesTs~time, span=decomp$win[2] ,
degree=decomp$deg[2])
plot(llrSaison$fitted)
The last plot differs much from the seasonal plot in the plot(decomp) call.
This is why the llr estimator doe...
2012 Aug 27
0
PVAClone: new package for population viability analysis
...s feature allows comparison of any two nested or non-nested
state-space models fitted using the Model Estimation procedure above
- for instance one can compare the state-space Generalized
Beverton-Holt model with a logistic model, even when observations are
missing;
- the underlying function is pva.llr can also be called repeatedly to
compute profile likelihood of a parameter of interest.
* Extinction Risk Estimation (under development) *
- data cloning based frequentist prediction of latent variables in a
general hierarchical model (Lele et al. 2010) is used to forecast
future abundance time se...
2012 Aug 27
0
PVAClone: new package for population viability analysis
...s feature allows comparison of any two nested or non-nested
state-space models fitted using the Model Estimation procedure above
- for instance one can compare the state-space Generalized
Beverton-Holt model with a logistic model, even when observations are
missing;
- the underlying function is pva.llr can also be called repeatedly to
compute profile likelihood of a parameter of interest.
* Extinction Risk Estimation (under development) *
- data cloning based frequentist prediction of latent variables in a
general hierarchical model (Lele et al. 2010) is used to forecast
future abundance time se...