Convenience function to create a truncated normal prior
createTruncatedNormalPrior(mean, sd, lower, upper)
best estimate for each parameter
sdandard deviation
vector of lower prior range for all parameters
vector of upper prior range for all parameters
createPriorDensity createPrior createBetaPrior createUniformPrior createBayesianSetup
createPriorDensity
createPrior
createBetaPrior
createUniformPrior
createBayesianSetup
# NOT RUN { prior <- createTruncatedNormalPrior(c(0,0),c(0.4,5), lower = c(-2,-2), upper = c(1,1)) prior$density(c(2,3)) prior$density(c(0.2,0.9)) prior$sampler() # }
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