Generate a sequence of parameters

Generate a sequence of parameters

Usage

parseq_fct(mod, ..., .n = 5, .factor = 2, .geo = TRUE, .digits = NULL)

parseq_factor(mod, ..., .n = 5, .factor = 2, .geo = TRUE, .digits = NULL)

Arguments

mod

a model object.

...

unquoted parameter names.

.n

number of parameters to simulate between the minimum and maximum parameter values.

.factor

a numeric vector used to divide and multiply the parameter value thus generating the minimum and maximum parameter values, respectively, for the sequence; if .factor is length 1 it will be recycled to length 2; the first value is used to divide the nominal value generating the minimum value; the second value is used to multiply the nominal value generating the maximum value.

.geo

if TRUE a geometric sequence is generated (evenly spaced from min to max on log scale); otherwise, the sequence is evenly spaced on Cartesian scale.

.digits

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

Details

• .n is passed to seq_fct() as n

• .factor is passed to seq_fct() as factor

See also

parseq_cv(), parseq_range(), parseq_manual()

Examples

mod <- mrgsolve::house()

mod %>%
  parseq_fct(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         0.5 GUT            0         0
#>  2     1  0    CL         0.5 CENT           0         0
#>  3     1  0    CL         0.5 RESP          50        50
#>  4     1  0    CL         0.5 DV             0         0
#>  5     1  0    CL         0.5 CP             0         0
#>  6     1  0.25 CL         0.5 GUT            0         0
#>  7     1  0.25 CL         0.5 CENT           0         0
#>  8     1  0.25 CL         0.5 RESP          50        50
#>  9     1  0.25 CL         0.5 DV             0         0
#> 10     1  0.25 CL         0.5 CP             0         0
#> # ℹ 24,040 more rows