Convenience function to create a truncated normal prior

Convenience function to create a truncated normal prior

createTruncatedNormalPrior(mean, sd, lower, upper)

Arguments

mean	best estimate for each parameter
sd	sdandard deviation
lower	vector of lower prior range for all parameters
upper	vector of upper prior range for all parameters

Note

for details see createPrior

See also

createPriorDensity createPrior createBetaPrior createUniformPrior createBayesianSetup

Examples

prior <- createTruncatedNormalPrior(c(0,0),c(0.4,5), lower = c(-2,-2), upper = c(1,1))
prior$density(c(2,3))
#> [1] -Inf
prior$density(c(0.2,0.9))
#> [1] -1.216469
prior$sampler()
#> [1]  0.2413041 -1.7412878