sp_msfa_control: Auxiliary function for 'sp_msfa'.

In rdevito/MSFA: Maximum Likelihood Estimation and Bayesian analysis of MSFA models

Description

Set parameters for posterior sampling and prior hyperparameters for the Bayesian MSFA model for sparse setting. The notation follows closely the paper by De Vito et al. (2020).

Usage

sp_msfa_control(
  nrun = 30000,
  burn = 20000,
  thin = 1,
  nu = 3,
  nus = 3,
  a1 = 1.1,
  b1 = 1,
  a2 = 1.1,
  b2 = 1,
  a1s = 1.1,
  b1s = 1,
  a2s = 2.1,
  b2s = 1,
  apsi = 1,
  bpsi = 0.3
)

Arguments

nrun	Number of posterior simulations. Default is 30000.
burn	Burn-in trials. Default is 20000.
thin	Thinning of posterior samples. Default is 1 (no thinning).
nu	Parameter entering the gamma distribution assumed for omega. Default is 3.
nus	Parameter entering the gamma distribution assumed for omegas. Default is 3.
a1	Shape parameter for the gamma distribution assumed for delta1. Default is 1.1.
b1	Scale parameter for the gamma distribution assumed for delta1. Default is 1.
a2	Shape parameter for the gamma distribution assumed for deltal. Default is 1.1.
b2	Scale parameter for the gamma distribution assumed for deltal. Default is 1.
a1s	Shape parameter for the gamma distribution assumed for delta1_s. Default is 1.1.
b1s	Scale parameter for the gamma distribution assumed for delta1_s. Default is 1.
a2s	Shape parameter for the gamma distribution assumed for deltal_s. Default is 2.1.
b2s	Scale parameter for the gamma distribution assumed for deltal_s. Default is 1.
apsi	Shape parameter for the gamma distribution assumed for 1/psi. Default is 1.
bpsi	Scale parameter for the gamma distribution assumed for 1/psi. Default is 0.3.

References

De Vito, R., Bellio, R., Trippa, L. and Parmigiani, G. (2020). Bayesian Multi-study Factor Analysis for High-throughput Biological Data. Submitted manuscript.

rdevito/MSFA documentation built on March 18, 2020, 2:57 p.m.