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In the above example we estimate parameters of the gamma distribution, but extraction is also implemented for the lognormal, normal and Weibull distributions, but specifying "lnorm"
, "norm"
or "weibull"
.
A message is shown when running extract_param()
to make the user aware that the estimates are not completely reliable due to the use of numerical optimisation. Rerunning the function to and finding the same parameters are returned indicates that they have successfully converged. This issue is mostly overcome by the internal setup of the extract_param()
function which searches for convergence to consistent parameter estimates before returning these to the user.
The alternative extraction, by median and range, can be achieved by specifying type = "range"
and using the samples
argument instead of the percentiles
argument. When using type = "percentiles"
the samples
argument is ignored and when using type = "range"
the percentiles
argument is ignored.
In the above section it was mentioned that extract_param()
has an internal mechanism to check that the parameters have consistently converged to the same estimates over several optimisation iterations. The tolerance of this convergence and number of times the optimisation can be repeated is specified in the control
argument of extract_param()
. This is set by default (tolerance = 1e-5
and max_iter = 1000
), and thus does not need to be specified by the user (as shown in the above examples). In the case that the maximum number of optimisation iterations is reached, the calculation terminates returning the most recent optimisation result to the user along with a warning message.
# set seed to ensure warning is produced
diff --git a/authors.html b/authors.html
index e0ad64223..7ccd5a802 100644
--- a/authors.html
+++ b/authors.html
@@ -74,7 +74,11 @@ Authors
-
+
+
+