newBASiCS_Chain {BASiCS} | R Documentation |
BASiCS_Chain
creates a BASiCS_Chain
object from pre-computed MCMC chains.
newBASiCS_Chain(parameters)
parameters |
List of matrices containing MCMC chains for each model parameter.
. This parameter is only used when spike-in genes are available.
|
An object of class BASiCS_Chain
.
Catalina A. Vallejos cnvallej@uc.cl
Nils Eling eling@ebi.ac.uk
Data <- makeExampleBASiCS_Data() # No regression model Chain <- BASiCS_MCMC(Data, N = 50, Thin = 5, Burn = 5, Regression = FALSE) ChainMu <- displayChainBASiCS(Chain, 'mu') ChainDelta <- displayChainBASiCS(Chain, 'delta') ChainPhi <- displayChainBASiCS(Chain, 'phi') ChainS <- displayChainBASiCS(Chain, 's') ChainNu <- displayChainBASiCS(Chain, 'nu') ChainTheta <- displayChainBASiCS(Chain, 'theta') ChainNew <- newBASiCS_Chain(parameters = list(mu = ChainMu, delta = ChainDelta, phi = ChainPhi, s = ChainS, nu = ChainNu, theta = ChainTheta)) # No regression model Chain <- BASiCS_MCMC(Data, N = 50, Thin = 5, Burn = 5, Regression = TRUE) ChainMu <- displayChainBASiCS(Chain, 'mu') ChainDelta <- displayChainBASiCS(Chain, 'delta') ChainPhi <- displayChainBASiCS(Chain, 'phi') ChainS <- displayChainBASiCS(Chain, 's') ChainNu <- displayChainBASiCS(Chain, 'nu') ChainTheta <- displayChainBASiCS(Chain, 'theta') ChainBeta <- displayChainBASiCS(Chain, 'beta') ChainSigma2 <- displayChainBASiCS(Chain, 'sigma2') ChainEpsilon <- displayChainBASiCS(Chain, 'epsilon') ChainNew <- newBASiCS_Chain(parameters = list(mu = ChainMu, delta = ChainDelta, phi = ChainPhi, s = ChainS, nu = ChainNu, theta = ChainTheta, beta = ChainBeta, sigma2 = ChainSigma2, epsilon = ChainEpsilon))