Apply parameter dependency rules

Applies dependency constraints among structural and statistical flags in a model-code parameter list to produce a feasible combination.

Usage

applyParamDeps(params)

Arguments

params

Named list of model-code parameters. Elements are typically scalar categorical values or 0/1 flags. Unknown elements are ignored.

Value

A named list with corrected parameter values.

Details

Corrections are applied in the following groups:

• Compartment rules: disable peripheral IIV terms when "no.cmpt" implies they are not used.

• Michaelis-Menten rules: enable or disable "eta.vmax", "eta.km", and "eta.cl" based on "mm".

• Oral absorption rules: enable or disable oral-related terms based on "abs.delay", "abs.type", and "abs.bio".

• Correlation rules: disable "mcorr" when too few IIV terms are present.

• IIV requirement: ensure at least one IIV term is present by enabling a default term consistent with "mm".

Author

Zhonghui Huang

Examples

params <- list(
  no.cmpt = 1, mm = 0, mcorr = 1,
  eta.vc = 1, eta.cl = 0, eta.vp = 1, eta.q = 1
)
applyParamDeps(params)
#> $no.cmpt
#> [1] 1
#> 
#> $mm
#> [1] 0
#> 
#> $mcorr
#> [1] 0
#> 
#> $eta.vc
#> [1] 1
#> 
#> $eta.cl
#> [1] 0
#> 
#> $eta.vp
#> [1] 0
#> 
#> $eta.q
#> [1] 0
#> 

params2 <- list(
  no.cmpt = 2, mm = 1,
  eta.vmax = 0, eta.km = 0, eta.cl = 1
)
applyParamDeps(params2)
#> $no.cmpt
#> [1] 2
#> 
#> $mm
#> [1] 1
#> 
#> $eta.vmax
#> [1] 1
#> 
#> $eta.km
#> [1] 0
#> 
#> $eta.cl
#> [1] 0
#>