winsrch_constrOptim: Find the optimal half-window width combination

In WRTDStidal: Weighted Regression for Water Quality Evaluation in Tidal Waters

Find the optimal half-window width combination

Description

Find the optimal half-window width combination to use for weighted regression. This differs from winsrch_optim by using constrOptim

Usage

winsrch_constrOptim(dat_in, ...)

## Default S3 method:
winsrch_constrOptim(
  dat_in,
  wins_in = NULL,
  control = list(),
  lower = c(0.1, 1, 0.1),
  upper = c(2, 15, 2),
  ...
)

Arguments

dat_in	input data object to use with weighted regression
...	arguments passed to wrtdscv, wrtds, or getwts
wins_in	starting list of window weights for initializing the search algorithm
control	A list of control parameters passed to optim (see details in optim help file).
lower	vector of minimum half-window widths to evaluate
upper	vector of maximum half-window widths to evaluate

Details

This function uses optim to minimize the error returned by wrtdscv for a given window combination. The search algorithm uses the limited-memory modification of the BFGS quasi-Newton method to impose upper and lower limits on the optimization search. These limits can be changed using the lower and upper arguments.

Value

Some stuff

See Also

wrtdscv, winsrch_grid

Examples

## Not run: 
# setup parallel backend
library(doParallel)
ncores <- detectCores() - 1  
registerDoParallel(cores = ncores)

# run search function - takes a while
res <- winsrch_optim(tidobjmean)

## End(Not run)

WRTDStidal documentation built on Oct. 20, 2023, 5:08 p.m.