See numericlist for methods to deal with parameter_list objects.

param(.x, ...)

# S4 method for mrgmod
param(.x, .y = NULL, ..., .pat = "*", .strict = FALSE)

# S4 method for mrgsims
param(.x, ...)

# S4 method for missing
param(..., .strict = TRUE)

# S4 method for list
param(.x, ...)

# S4 method for ANY
param(.x, ...)

allparam(.x)

Arguments

.x

the model object

...

passed along or name/value pairs to update the parameters in a model object

.y

list to be merged into parameter list

.pat

a regular expression (character) to be applied as a filter for which parameters to show when printing

.strict

if TRUE, all names to be updated must be found in the parameter list

Value

An object of class parameter_list (see numericlist).

Details

Can be used to either get a parameter list object from a mrgmod model object or to update the parameters in a model object. For both uses, the return value is a parameter_list object. For the former use, param is usually called to print the parameters to the screen, but the parameter_list object can also be coerced to a list or numeric R object.

Use allparam to get a parameter_list object including both model parameters and data items listed in $FIXED.

Examples

## example("param") mod <- mrgsolve::house() param(mod)
#> #> Model parameters (N=14): #> name value . name value #> CL 1 | SEX 0 #> D1 2 | SEXCL 0.7 #> F1 1 | SEXVC 0.85 #> IC50 10 | VC 20 #> KA 1.2 | WT 70 #> KIN 100 | WTCL 0.75 #> KOUT 2 | WTVC 1
param(mod, .pat="^(C|F)") ## may be useful when large number of parameters
#> #> Model parameters (N=14): #> name value . name value #> CL 1 | F1 1
class(param(mod))
#> [1] "parameter_list" #> attr(,"package") #> [1] "mrgsolve"
param(mod)$KA
#> [1] 1.2
param(mod)[["KA"]]
#> [1] 1.2
as.list(param(mod))
#> $CL #> [1] 1 #> #> $VC #> [1] 20 #> #> $KA #> [1] 1.2 #> #> $F1 #> [1] 1 #> #> $D1 #> [1] 2 #> #> $WT #> [1] 70 #> #> $SEX #> [1] 0 #> #> $WTCL #> [1] 0.75 #> #> $WTVC #> [1] 1 #> #> $SEXCL #> [1] 0.7 #> #> $SEXVC #> [1] 0.85 #> #> $KIN #> [1] 100 #> #> $KOUT #> [1] 2 #> #> $IC50 #> [1] 10 #>
as.data.frame(param(mod))
#> CL VC KA F1 D1 WT SEX WTCL WTVC SEXCL SEXVC KIN KOUT IC50 #> 1 1 20 1.2 1 2 70 0 0.75 1 0.7 0.85 100 2 10
param(mod, CL = 1.2)
#> #> #> -------------- source: housemodel.cpp -------------- #> #> project: /data/GHE/deploy...solve/project #> shared object: mrgsolve #> #> time: start: 0 end: 120 delta: 0.25 #> add: <none> #> #> compartments: GUT CENT RESP [3] #> parameters: CL VC KA F1 D1 WT SEX WTCL WTVC SEXCL #> SEXVC KIN KOUT IC50 [14] #> captures: DV CP [2] #> omega: 4x4 #> sigma: 1x1 #> #> solver: atol: 1e-08 rtol: 1e-08 maxsteps: 20k #> ------------------------------------------------------
new_values <- list(CL = 1.3, VC = 20.5) param(mod, new_values)
#> #> #> -------------- source: housemodel.cpp -------------- #> #> project: /data/GHE/deploy...solve/project #> shared object: mrgsolve #> #> time: start: 0 end: 120 delta: 0.25 #> add: <none> #> #> compartments: GUT CENT RESP [3] #> parameters: CL VC KA F1 D1 WT SEX WTCL WTVC SEXCL #> SEXVC KIN KOUT IC50 [14] #> captures: DV CP [2] #> omega: 4x4 #> sigma: 1x1 #> #> solver: atol: 1e-08 rtol: 1e-08 maxsteps: 20k #> ------------------------------------------------------