plotPriors {GRENITS} | R Documentation |
Plot appropriate priors using parameters from vector
plotPriors(parameter.vec)
parameter.vec |
MCMC parameter vector of the type generated by e.g. mcmc.defaultParams_Linear |
This function takes the parameter vector that will be used for network inference function and plots the priors associated with the parameters given.
Morrissey, E.R., Juarez, M.A., Denby, K.J. and Burroughs, N.J. 2010. On reverse engineering of gene interaction networks using time course data with repeated measurements. Bioinformatics 2010; doi: 10.1093/bioinformatics/btq421
Morrissey, E.R., Juarez, M.A., Denby, K.J. and Burroughs, N.J. 2011 Inferring the time-invariant topology of a nonlinear sparse gene regulatory network using fully Bayesian spline autoregression Biostatistics 2011; doi: 10.1093/biostatistics/kxr009
mcmc.defaultParams_gauss
, mcmc.defaultParams_Linear
,
mcmc.defaultParams_nonLinear
, mcmc.defaultParams_student
.
# Get default parameters nonLinearNet.params <- mcmc.defaultParams_nonLinear() # Change run length nonLinearNet.params[1] <- 150000 # Change prior on smoothness parameter nonLinearNet.params[6] <- 30000 # Change truncation nonLinearNet.params[12] <- 3 # Concentrate more mass close to linear region # Plot to check changes plotPriors(nonLinearNet.params)