Description Usage Arguments References
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).
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | 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
)
|
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. |
De Vito, R., Bellio, R., Trippa, L. and Parmigiani, G. (2020). Bayesian Multi-study Factor Analysis for High-throughput Biological Data. Submitted manuscript.
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