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Create filter rules for summary table filtering

summary_filter_rules.Rd

Creates rules for filtering which models appear in the summary table. Rules are evaluated against the summary data frame.

Usage

summary_filter_rules(...)

Arguments

...

Filter expressions like "final" %in% tags, !is.null(description)

Value

List of quosures for use in SummarySpec

Available columns

The following columns are available for use in filter rules. Filters are evaluated against the summary data frame, so columns must be included in SummarySpec@columns to be available.

  • model - Model name (e.g., "run001")

  • based_on - Reference model name(s)

  • description - Model description

  • n_parameters - Number of non-fixed parameters

  • problem - Problem description from run details

  • number_data_records - Number of data records

  • number_subjects - Number of subjects

  • number_obs - Number of observations

  • estimation_method - Estimation method

  • estimation_time - Estimation time

  • covariance_time - Covariance time

  • postprocess_time - Postprocess time

  • function_evaluations - Function evaluations

  • significant_digits - Significant digits

  • ofv - Objective function value

  • dofv - Change in OFV

  • condition_number - Condition number

  • termination_status - Termination status

  • pvalue - LRT p-value

  • df - Degrees of freedom

Examples

summary_filter_rules(
  ofv < 0,
  estimation_method == "FOCE",
  model %in% c("run001", "run003")
)
#> <list_of<quosure>>
#> 
#> [[1]]
#> <quosure>
#> expr: ^ofv < 0
#> env:  0x55a3ea7b70c0
#> 
#> [[2]]
#> <quosure>
#> expr: ^estimation_method == "FOCE"
#> env:  0x55a3ea7b70c0
#> 
#> [[3]]
#> <quosure>
#> expr: ^model %in% c("run001", "run003")
#> env:  0x55a3ea7b70c0
#>