Generate a sequence of parameters based on CV

Generate a sequence of parameters based on CV

Usage

parseq_cv(mod, ..., .cv = 30, .n = 5, .nsd = 2, .digits = NULL)

Arguments

mod

a model object.

...

model parameter names.

.cv

a coefficient of variation used to determine range of test parameters.

.n

number of parameters to simulate in the sequence.

.nsd

number of standard deviations used to determine the range.

.digits

if numeric, the number of significant digits in the parameter sensitivity values are set using base::signif().

Details

• .cv is passed to seq_cv() as cv

• .n is passed to seq_cv() as n

• .nsd is passed to seq_cv() as nsd

See also

parseq_fct(), parseq_range(), parseq_manual()

Examples

mod <- mrgsolve::house()

mod %>%
  parseq_cv(CL,VC) %>% 
  sens_each()
#> # A tibble: 24,050 × 7
#>     case  time p_name p_value dv_name dv_value ref_value
#>  * <int> <dbl> <chr>    <dbl> <chr>      <dbl>     <dbl>
#>  1     1  0    CL       0.549 GUT            0         0
#>  2     1  0    CL       0.549 CENT           0         0
#>  3     1  0    CL       0.549 RESP          50        50
#>  4     1  0    CL       0.549 DV             0         0
#>  5     1  0    CL       0.549 CP             0         0
#>  6     1  0.25 CL       0.549 GUT            0         0
#>  7     1  0.25 CL       0.549 CENT           0         0
#>  8     1  0.25 CL       0.549 RESP          50        50
#>  9     1  0.25 CL       0.549 DV             0         0
#> 10     1  0.25 CL       0.549 CP             0         0
#> # ℹ 24,040 more rows