Summarize ETA bars of the individual parameters resulting of an estimation step.

summarize_etabars(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. ETA1, ETA2, ..., ETAn)

  • name: parameter name

  • value: eta bar value

  • se: standard error

  • n: sample size

  • pvalue: p-value helping assess whether the sample average is "far" from 0

Examples

EXAMPLERUN %>% summarize_etabars()
#> # A tibble: 9 x 6 #> id name value se n pvalue #> <chr> <chr> <dbl> <dbl> <dbl> <dbl> #> 1 ETA1 ETCL -0.0437 0.00860 527 0.000000377 #> 2 ETA2 EKON 0 0 527 1 #> 3 ETA3 EKIN 0.0184 0.00835 527 0.0276 #> 4 ETA4 EKDE -0.0230 0.0132 527 0.0821 #> 5 ETA5 ETQ 0.00349 0.00280 527 0.213 #> 6 ETA6 ETV1 -0.00935 0.00922 527 0.310 #> 7 ETA7 ETV2 0 0 527 1 #> 8 ETA8 ETKA -0.0349 0.0155 527 0.0247 #> 9 ETA9 ETF -0.0164 0.0132 527 0.213