This map is used by the simulator to transform sampling variables
into ODE-model parameters. As we often calculate sensitivities, we
also need the jacobian of the map, due to the chain rule of
differentiation.
Arguments
- parMCMC
the sampling variables (numeric vector)
Value
a numeric matrix (dim: c(length(parMCMC),length(parMCMC))).
Examples
p <- c(-1,0,1)
parMap <- log2ParMap
parMpJ <- log2ParMapJac
print(parMap(p))
#> [1] 0.5 1.0 2.0
print(parMpJ(p))
#> [,1] [,2] [,3]
#> [1,] 0.3465736 0.0000000 0.000000
#> [2,] 0.0000000 0.6931472 0.000000
#> [3,] 0.0000000 0.0000000 1.386294