Convenience function to create a simple uniform prior distribution

Convenience function to create a simple uniform prior distribution

createUniformPrior(lower, upper, best = NULL)

Arguments

lower	vector of lower prior range for all parameters
upper	vector of upper prior range for all parameters
best	vector with "best" values for all parameters

Note

for details see createPrior

See also

createPriorDensity, createPrior, createBetaPrior, createTruncatedNormalPrior, createBayesianSetup

Examples

set.seed(1)

prior <- createUniformPrior(lower = c(0,0), upper = c(0.4,5))

# c(2, 3) outside of limits
prior$density(c(2, 3))
#> [1] -Inf
# -Inf

# c(0.2, 2) within limits
prior$density(c(0.2, 2))
#> [1] -0.6931472
# -0.6931472


# sample from prior
prior$sampler()
#> [1] 0.2291413 4.5410389
# [1] 0.2291413 4.5410389


## the prior object can be passed to createBayesianSetup()

# log-likelihood density function (needed for createBayesianSetup)
ll <- function(x) sum(dnorm(x, log = TRUE))

setup <- createBayesianSetup(prior = prior, likelihood = ll)