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Concepts, tiers, and contexts used to classify NCA parameters

Source: R/001-add.interval.col.R
pknca_concepts.Rd

Concepts, tiers, and contexts used to classify NCA parameters

Usage

pknca_concepts()

pknca_tiers()

pknca_routes(synonyms = FALSE)

pknca_dosing()

pknca_sample_types()

Arguments

synonyms

If TRUE, pknca_routes() returns the table of spellings that data may use for a route instead of the route names (see Route synonyms).

Value

pknca_concepts() gives the concept names PKNCA uses, pknca_tiers() the reporting tiers, pknca_routes() the routes of administration, pknca_dosing() the dosing patterns, and pknca_sample_types() the sample collection types.

Details

A tier of "common" marks a parameter that belongs in a default report for at least one context; "uncommon" marks one that is calculated only when asked for by name. "uncommon" is the default, so a parameter registered without a tier is never selected automatically.

Route synonyms

pknca_routes(synonyms = TRUE) returns a data.frame with one row per spelling and the columns

  • synonym: The spelling, in lower case with single spaces, as it may appear in data (for example "po", "intravenous bolus"). It includes the common abbreviations and the CDISC SDTM ROUTE controlled terminology terms that are extravascular or intravascular routes.

  • route: One of pknca_routes(), or "iv" when the spelling is intravascular but does not say which intravascular route it is (for example "intravenous" does not say bolus or infusion). "iv" is not a value of pknca_routes() without synonyms, because PKNCA cannot calculate with a route that does not say how the drug entered.

  • dose_route: "extravascular" or "intravascular", the values that PKNCAdose() accepts for route.

pknca_match_route() looks spellings up in this table.

See also

pknca_concept(), add.interval.col()

Other Interval specifications: add.interval.col(), check.interval.specification(), choose.auc.intervals(), get.interval.cols(), get.parameter.deps(), interval_add_impute(), interval_add_param(), interval_add_secondary(), pknca_cdisc_codes(), pknca_check_parameter_classification(), pknca_interval_table(), pknca_match_route(), pknca_parameter_table(), pknca_presets(), pknca_ref()

Examples

pknca_concepts()
#>  [1] "auc"                 "aumc"                "auc_above_conc"     
#>  [4] "auc_extrapolation"   "peak_conc"           "min_conc"           
#>  [7] "last_conc"           "average_conc"        "trough_conc"        
#> [10] "start_conc"          "initial_conc"        "eoi_conc"           
#> [13] "peak_time"           "min_time"            "last_time"          
#> [16] "first_time"          "lag_time"            "time_above_conc"    
#> [19] "clearance"           "renal_clearance"     "volume_z"           
#> [22] "volume_ss"           "mrt"                 "half_life"          
#> [25] "effective_half_life" "elimination_rate"    "fluctuation"        
#> [28] "excreted_amount"     "excreted_fraction"   "excretion_rate"     
#> [31] "collected_volume"    "bioavailability"     "total_dose"         
#> [34] "observation_count"   "parameter_ratio"