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NATURAL LOG parameter mapping, jacobian

logParMapJac.Rd

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.

Usage

logParMapJac(parMCMC)

Arguments

parMCMC

the sampling variables (numeric vector)

Value

a numeric matrix (dim: c(length(parMCMC),length(parMCMC))).

Examples

p <- c(-1,0,1)
parMap <- logParMap
parMpJ <- logParMapJac
print(parMap(p))
#> [1] 0.3678794 1.0000000 2.7182818
print(parMpJ(p))
#>           [,1] [,2]     [,3]
#> [1,] 0.3678794    0 0.000000
#> [2,] 0.0000000    1 0.000000
#> [3,] 0.0000000    0 2.718282