Simulation_Based_Calibration_via_rstan_sbc_MRMC: Simiulation Based Calibration (SBC) for a single reader and a...
In BayesianFROC: FROC Analysis by Bayesian Approaches

Description Usage Arguments Details Value References See Also

Implements the SBC algorithm for the a single reader and a single modality case.

Simulation_Based_Calibration_via_rstan_sbc_MRMC(
  ww = -0.81,
  www = 0.001,
  mm = 0.65,
  mmm = 0.001,
  vv = 5.31,
  vvv = 0.001,
  zz = 1.55,
  zzz = 0.001,
  A_mean = 0.6,
  A_variance = 0.1,
  vv_hyper_v = 0.05,
  vvv_hyper_v = 0.01,
  NL = 259,
  NI = 57,
  C = 3,
  M = 5,
  Q = 4
)

`ww`	A real number representing parameter of prior, indicating mean of prior for the first threshold
`www`	A real number representing parameter of prior, variance of prior for the first threshold
`mm`	A real number representing parameter of prior, mean of prior for the mean of signal distribution
`mmm`	A real number representing parameter of prior, variance of prior for the variance of signal distribution
`vv`	A real number representing parameter of prior, mean of prior for the mean of signal distribution
`vvv`	A real number representing parameter of prior, variance of prior for the variance of signal distribution
`zz`	A real number representing parameter of prior, mean of prior for the differences of thresholds
`zzz`	A real number representing parameter of prior, variance of prior for the differences of thresholds
`A_mean`	A real number representing parameter of prior, indicating mean of prior for the `A`
`A_variance`	A real number representing parameter of prior, indicating mean of prior for the `A`
`vv_hyper_v`	A real number representing parameter of prior, indicating mean of prior for the `hyper_v`
`vvv_hyper_v`	A real number representing parameter of prior, indicating variance of prior for the `hyper_v`
`NL`	number of lesions
`NI`	numver of images
`C`	number of confidence levels
`M`	number of modalities
`Q`	number of readers

The implementation is done using the rstan::sbc. The stan file is SBC.stan

A list of S3 class "sbc", which is an outputs of the sbc function in rstan.

Talts, S., Betancourt, M., Simpson, D., Vehtari, A., and Gelman, A. (2018). Validating Bayesian Inference Algorithms with Simulation-Based Calibration. arXiv preprint arXiv:1804.06788

rstan::sbc, which implements SBC.

Stan file: SBC_MRMC.stan

BayesianFROC documentation built on Jan. 23, 2022, 9:06 a.m.