- As recomanded by CRAN managers, the NEWS file is now at the text format and is no more just a link to the airGR Website
- Added the <code>Vignette_Param.</code> datasets in order to reduce runtime during the re-building of vignettes. It contains different objects needed for param_optim and param_mcmc vignettes.
@@ -80,9 +81,8 @@ upperGR4J <- rep(+9.99, times = 4)
# Local optimization
We start with a local optimization strategy by using the PORT routines (using the `nlminb()` of the `stats` package) and by setting a starting point in the transformed parameter space:
@@ -49,9 +50,8 @@ First, we need to define a function that returns twice the opposite of the log-l
Nota: in the `RunAirGR4J()` function, the computation of the log-likelihood is simplified in order to ensure a good computing performance. It corresponds to a translation of the two following lines.
In our simplified setting of Gaussian likelihood with measurement error integrated out, the log of the sum of squared error is related to the log-likelihood.