Summarize OMEGA matrix

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

summarize_omega(run, estimation_number = NULL)

Value

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

  • eta1: first parameter name

  • eta2: 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

  • cv: coefficient of variation, considering the random parameter is a variability term associated to a log-normally distributed parameter

Examples


EXAMPLERUN %>% summarize_omega()
#> # A tibble: 7 x 8
#>   eta1  eta2  estimate      se    rse ci_low  ci_up    cv
#>   <chr> <chr>    <dbl>   <dbl>  <dbl>  <dbl>  <dbl> <dbl>
#> 1 ETCL  ETCL    0.279  0.0761  0.273  0.130  0.428  0.568
#> 2 EKIN  EKIN    0.0581 0.00462 0.0796 0.0490 0.0672 0.245
#> 3 EKDE  EKDE    0.171  0.0164  0.0963 0.138  0.203  0.431
#> 4 ETQ   ETQ     0.0691 0.0298  0.431  0.0108 0.127  0.267
#> 5 ETV1  ETV1    0.0990 0.0166  0.167  0.0665 0.132  0.323
#> 6 ETKA  ETKA    0.464  0.0495  0.107  0.367  0.561  0.769
#> 7 ETF   ETF     0.290  0.0717  0.248  0.149  0.430  0.580