get_control_parameters: Set control parameters

In alan-turing-institute/prevdebiasr: Estimate Local Prevalence Using Targeted And Randomised Testing Data

Description

Set control parameters

Usage

get_control_parameters(
  delta_AR_rho = 0.99,
  delta_AR_sd = 1,
  delta_inter_sd = 10,
  I_prior_mean = 0.005,
  I_prior_sd = 0.025,
  I_prior_upper = 0.04,
  alpha_testing = 0.001,
  beta_testing = 0.05,
  I_max = 1e+06,
  nbin = 200,
  n_quant_approx_bias = 25
)

Arguments

delta_AR_rho	Correlation in AR1 component of the temporal Gaussian process on delta
delta_AR_sd	Standard deviation in AR1 component of the temporal Gaussian process on delta
delta_inter_sd	Prior standard deviation on delta intercept
I_prior_mean	Mean of truncated Gaussian prior on prevalence
I_prior_sd	Standard deviation of truncated Gaussian prior on prevalence
I_prior_upper	Upper limit of truncated Gaussian prior on prevalence
alpha_testing	False positive rate
beta_testing	False negative rate
I_max	Maximum value of prevalence considered in the model
nbin	The number of bins into which prevalence I is divided
n_quant_approx_bias	Number of quantiles to use to approximate delta EB posterior

alan-turing-institute/prevdebiasr documentation built on Dec. 19, 2021, 12:22 a.m.