Summarize SIGMA matrix

Summarize variance-covariance matrix of the residual error parameters values resulting of an estimation step.

summarize_sigma(run, estimation_number = NULL)

Arguments

run

pmxploit NONMEM run object.
estimation_number

integer. Number of the estimation step. Default is NULL, returning the last estimation step.

Value

A data frame with one row per parameter and the following columns:

  • epsilon1: first parameter name

  • epsilon2: second parameter name

  • estimate: final estimate

  • se: standard error

  • rse: relative standard error

  • ci_low: lower endpoint of the 95% confidence interval

  • ci_up: upper endpoint of the 95% confidence interval

Examples


EXAMPLERUN %>% summarize_sigma()
#> # A tibble: 1 x 7
#>   epsilon1 epsilon2 estimate    se   rse ci_low ci_up
#>   <chr>    <chr>       <dbl> <dbl> <dbl>  <dbl> <dbl>
#> 1 EPS1     EPS1            1    NA    NA     NA    NA