LOG2 parameter mapping, jacobian

This map is used by the simulator to transform sampling variables into ODE-model porameters. As we often calculate sensitivites, we alos need the jacobian of the map, due to the chain rule of differentiation.

Usage

log2ParMapJac(parMCMC)

Arguments

parMCMC

the sampling variables (numeric vector)

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