Package index • PEcAn.uncertainty

All functions

compute_sobol_indices(): Compute Sobol indices from a finished PEcAn run

ensemble.filename(): Generate ensemble filenames

ensemble.ts(): Plots an ensemble time-series from PEcAn for the selected target variable

flux.uncertainty(): Calculate parameters for heteroskedastic flux uncertainty

generate_joint_ensemble_design(): Generate joint ensemble design for parameter sampling Creates a joint ensemble design that maintains parameter correlations across all sites in a multi-site run. This function generates sample indices that are shared across sites to ensure consistent parameter sampling.

get.change(): Get delta between sequential flux datapoints

get.coef.var(): Get coefficient of variance

get.elasticity(): Generic function for the elasticity

get.ensemble.samples(): Get Ensemble Samples

get.gi.phii(): Get g_i(phi_i)

get.parameter.samples(): Convert priors / MCMC samples to chains that can be sampled for model parameters

get.results(): Reads model output and runs sensitivity and ensemble analyses

get.sensitivity(): Calculate the sensitivity of a function at the median

input.ens.gen(): Function for generating samples based on sampling method, parent or etc

kurtosis(): Calculates the excess kurtosis of a vector

plot_flux_uncertainty(): Plot fit for heteroskedastic flux uncertainty

plot_sensitivities(): Plot functions and quantiles used in sensitivity analysis

plot_sensitivity(): Sensitivity plot

plot_variance_decomposition(): Variance Decomposition Plots

read.ameriflux.L2(): Read Ameriflux L2 Data

read.ensemble.output(): Read ensemble output

read.ensemble.ts(): Reads ensemble time-series from PEcAn for the selected target variable

read.sa.output(): Reads output of sensitivity analysis runs

run.ensemble.analysis(): run ensemble.analysis

run.sensitivity.analysis(): run sensitivity.analysis

runModule.get.results(): Apply get.results to each of a list of settings

runModule.run.sensitivity.analysis(): Run sensitivity analysis for every Settings in a MultiSettings

sa.splinefun(): Spline estimate of univariate relationship between parameter value and model output

sd.var(): Calculates the standard deviation of the variance estimate

sensitivity.analysis(): Performs univariate sensitivity analysis and variance decomposition

sensitivity.filename(): Generate sensitivity analysis filenames

spline.ensemble(): Spline Ensemble

spline.truncate(): Truncate spline at zero if...

variance.stats(): variance statistics

write.ensemble.configs(): Write ensemble config files

write.sa.configs(): Write sensitivity analysis config files