Package index • UPLforOAR

All functions

Bayesian_UPL(): Bayesian_UPL() wraps setup_likelihood(), run_likelihood(), output_likelihood(), converge_likelihood(), and fit_likelihood()

DRE_trans(): Convert from a an emission fraction into a percent destruction or removal efficiency

Lognormal_UPL(): Calculate UPL assuming lognormally distributed emissions data

MACT_EG(): Selects top sources from emissions data

MACT_NSPS(): Selects best performer from emissions data

Normal_UPL(): Calculate UPL assuming normally distributed emissions data

Skewed_UPL(): Calculate UPL assuming skew-normal distributed emissions data

converge_figs(): Converge_figs() pulls convergence figures for each parameter

converge_likelihood(): Tests for convergence in likelihood parameters

distribution_type(): Determines the type of distribution from skewness and kurtosis ratios

fit_likelihood(): fit_likelihood() calculates the error between fitted density and observed density distributions

mcmc_theme(): Custom theme for ggplot mcmc iterations

multi_source_theme(): Custom theme for ggplot multi-source density distributions

obs_density(): Calculates the density of emissions observations

output_likelihood(): Organizes mcmc output from run_likelihood()

pop_distr_theme(): Custom theme for ggplot overall density distributions

run_likelihood(): Runs JAGS model scripts for chosen likelihood

setup_likelihood(): Sets up path to JAGS script, initial values, and variable list to monitor

write_likelihood(): Writes likelihood scripts for JAGS model calls