Description Usage Arguments Value
View source: R/estimateFeval.R
SPARROW NonLinear Least Squares (NLLS) function for optimizing the model fit to
the observations for the calibration sites, based on use of conditioned predictions of load.
The function accumulates loads in the reach network according to the user's model specification,
making comparisons of the conditioned predictions of load to the actual loads at monitored
reaches to return a vector of weighted residuals (difference between the actual and predicted
loads). Monitoring load substitution is performed (ifadjust=1).
Executed By:
estimate.R
estimateBootstraps.R
estimateFevalNoadj.R
estimateNLLSmetrics.R
estimateOptimize.R
validateFevalNoadj.R
Executes Routines:
unPackList.R
tnoder.for
1 2 | estimateFeval(beta0, DataMatrix.list, SelParmValues, Csites.weights.list,
estimate.input.list, dlvdsgn)
|
beta0 |
estimated parameters (no constants) |
SelParmValues |
selected parameters from parameters.csv using condition
|
dlvdsgn |
design matrix imported from design_matrix.csv |
e
vector of weighted residuals
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.