| confint_bootstrap | R Documentation |
Function to calculate the confidence intervals of the hydraulic parameters using bootstrapping.
confint_bootstrap(ptest, level = c(0.025, 0.975), slug = F, d = 20,
neval = 100, seed = 12345)
ptest |
A pumping_test object |
level |
A numeric vector with the significance levels of the confidence intervals. |
slug |
A logical flag indicating if a slug test is used in the analysis. |
d |
An integer value specifying the number of points used in the calculation of the derivative. |
neval |
An integer value specifying the number of realizations of the resampling procedure. |
seed |
random seed |
This function returns a list with the following entries:
fit.parameters: A matrix with the values of the parameters of the nonlinear regression model
method: A character string specifying the method used in the CI estimation (bootstrap)
total.drawdown: A matrix with the values of the drawdown
total_dsdlogt: A matrix with the values of the derivative of drawdown
sci: A matrix with the confidence intervals of drawdown
dsci: A matrix with the confidence intervals of the derivative of drawdown
hydraulic.parameters: A matrix with the hydraulic parameter estimated from the boostrapp realizations
parameter.names: A vector with the name of the fitting parameters
hydraulic.parameters.names: A character vector with the names of the hydraulic parameters
hydraulic.parameters.ci: Confidence intervals of the hydraulic parameters
Oscar Garcia-Cabrejo khaors@gmail.com
Other base functions: additional.parameters<-,
confint.pumping_test,
confint_jackniffe,
confint_wald, estimated<-,
evaluate, fit.optimization,
fit.parameters<-,
fit.sampling, fit,
hydraulic.parameter.names<-,
hydraulic.parameters<-,
model.parameters, model<-,
plot.pumping_test,
plot_model_diagnostic,
plot_sample_influence,
plot_uncert,
print.pumping_test,
pumping_test, simulate,
summary.pumping_test
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.