Summarize THETA parameters

Summarize typical population parameters values resulting of an estimation step.

summarize_thetas(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:

  • id: parameter ID (ie. THETA1, THETA2, ..., THETAn)

  • name: 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_thetas()
#> # A tibble: 13 x 7
#>    id      name  estimate       se      rse  ci_low   ci_up
#>    <chr>   <chr>    <dbl>    <dbl>    <dbl>   <dbl>   <dbl>
#>  1 THETA1  TVCL    0.172   0.0152   0.0884   0.141   0.202 
#>  2 THETA2  TKON  559      NA       NA       NA      NA     
#>  3 THETA3  TKIN    0.124   0.00222  0.0180   0.119   0.128 
#>  4 THETA4  TKDE    1.35    0.0375   0.0279   1.27    1.42  
#>  5 THETA5  TVQ     0.500   0.0286   0.0571   0.443   0.558 
#>  6 THETA6  TVV1    3.23    0.204    0.0632   2.82    3.63  
#>  7 THETA7  TVV2    2.61   NA       NA       NA      NA     
#>  8 THETA8  TVKA    0.638   0.0468   0.0733   0.544   0.731 
#>  9 THETA9  TVF     0.590   0.0239   0.0406   0.542   0.638 
#> 10 THETA10 TVEP    0.275   0.00151  0.00548  0.272   0.278 
#> 11 THETA11 TVEA    0.582   0.0224   0.0385   0.537   0.627 
#> 12 THETA12 TVLAG   0.0298  0.00110  0.0369   0.0276  0.0320
#> 13 THETA13 COV1    1.56    0.0851   0.0544   1.39    1.73