uncertainty_quantification_boot: uncertainty_quantification_boot

In khaors/hydroanalyzer: R package to analyze hydrological information

Description

Function to calculate the confidence intervals of the model parameters using a bootstrapping approach.

Usage

uncertainty_quantification_boot(measured, fn.model, obj.fn = c("rss",
  "mnad", "mxad"), opt.method = c("lbfgs", "ga", "sa"), args,
  level = c(0.025, 0.975), neval = 100, seed = 12345)

Arguments

measured	A numeric vector with measured values
fn.model	A character string with the name of the model function
obj.fn	A character string with the name of the objective function
opt.method	A character string with the name of the optimization method
args	A list with a numeric vector with the precipitation values and a numeric vector with the PEV values
level	A numeric vector with the values of the quantiles associated with the confidence interval to estimate
neval	An integer specifying the number of model evaluation used to estimate the confidence intervals
seed	A random seed

Value

A list with the following entries:

Author(s)

Oscar Garcia-Cabrejo [e-mail]

See Also

Other calibration functions: log_nash_sutcliffe, mass_balance_error, max_absolute_deviation, mean_absolute_deviation, nash_sutcliffe, objective.fn, schultz_criteria, sum_squared_residuals

khaors/hydroanalyzer documentation built on June 7, 2019, 8:39 p.m.