Package index • aNCA

All functions

PKNCA_build_units_table(): Build Units Table for PKNCA

PKNCA_calculate_nca(): Calculates results for PKNCA analysis.

PKNCA_create_data_object(): Creates a PKNCA::PKNCAdata object.

PKNCA_hl_rules_exclusion(): Exclude NCA results based on user-defined rules over the half-life related parameters This function applies exclusion rules to the NCA results based on user-defined parameters.

PKNCA_impute_method_start_c1(): This function imputes the start concentration using the first concentration after dose

PKNCA_impute_method_start_logslope(): This function imputes the start concentration using the log slope method.

PKNCA_update_data_object(): Create a PKNCAdata Object for NCA or Slope Analysis

add_f_to_pknca_results(): Add bioavailability results to PKNCA results

add_optional_layers(): Helper function to handle optional layers

apply_filters(): Apply Filters to a Dataset

apply_labels(): Apply Labels to a dataset

apply_mapping(): Apply UI-Based Column Mapping to a Dataset

calculate_f(): Calculate bioavailability with pivoted output

calculate_ratios(): Calculate Ratios from PKNCA Results

calculate_summary_stats(): Calculate Summary Statistics

check_slope_rule_overlap(): Check overlap between existing and new slope rulesets

convert_volume_units(): Convert Volume Units to Match Concentration Denominator Units

create_start_impute(): Create C0 Impute Column

detect_study_types(): Detect study types

dose_profile_duplicates(): Create duplicates in concentration data with Pre-dose and Last Values for Dosing Cycles

.apply_slope_rules(): Apply Slope Rules to Update Data

.compress_range(): Compresses a numeric vector into the simplest possible character string that, when evaluated, will create the same numeric vector.

.eval_range(): Evaluates range notation. If provided notation is invalid, returns NA.

.plotly_empty_plot(): Generate an Empty Plotly Object

ensure_column_unit_exists(): Ensure Unit Columns Exist in PKNCA Object

export_cdisc(): Export CDISC Data

filter_breaks(): Filter Breaks for X-Axis

filter_slopes(): Filter dataset based on slope selections and exclusions

flexible_violinboxplot(): Flexible Violin/Box Plot

format_pkncaconc_data(): Create PK Concentration Dataset

format_pkncadata_intervals(): Create Dose Intervals Dataset

format_pkncadose_data(): Create PK Dose Dataset

format_unit_string(): Formats a unit string if a unique unit exists

g_pkcg01_lin(): Wrapper around aNCA::pkcg01() function. Calls the function with LIN scale argument.

g_pkcg01_log(): Wrapper around aNCA::pkcg01() function. Calls the function with LOG scale argument.

g_pkcg02_lin(): Wrapper around aNCA::pkcg02() function. Calls the function with LIN scale argument.

g_pkcg02_log(): Wrapper around aNCA::pkcg02() function. Calls the function with LOG scale argument.

general_lineplot(): Generate a General Line Plot for ADNCA Dataset

general_meanplot(): Generate a Mean Concentration Plot for ADNCA Dataset

generate_tooltip_text(): Generate HTML Tooltip Text

get_conversion_factor(): Transform Units

get_label(): Get the Label of a Heading

interval_add_impute(): Add specified imputation methods to the intervals in a PKNCAdata or data.frame object.

interval_remove_impute(): Remove specified imputation from the intervals in a PKNCAdata or data.frame (intervals) object.

l_pkcl01(): Create PK Concentration Listing

lambda_slope_plot(): Generate a Lambda Slope Plot

metadata_nca_parameters: metadata_nca_parameters

metadata_nca_variables: metadata_nca_variables

multiple_matrix_ratios(): Calculate Matrix Ratios This function calculates the ratios for a given data set, based on the shared time points for each matrix concentration sample. The user can input multiple tissues for which ratios should be calculated.

parse_annotation(): Parses annotations in the context of data. Special characters and syntax are substituted by actual data and/or substituted for format that is better parsed via rendering functions (e.g. plotly).

pivot_wider_pknca_results(): Reshape PKNCA Results

pk.calc.volpk(): Calculate the total urine volume

pk_dose_qc_plot(): Create a PK Dose Quality Control (QC) Plot

pkcg01(): Generate PK Concentration-Time Profile Plots

pkcg02(): Generate Combined PK Concentration-Time Profile Plot by Cohort

pknca_calculate_f(): Calculate bioavailability for intravascular vs extravascular aucs

prepare_plot_data(): Prepare Data for PK Dose QC Plotting

preprocess_data_for_plot(): Prepare Data for PK Lineplot

read_pk(): Reads PK datasets from various file formats.

run_app(): Run the Shiny app

select_minimal_grouping_cols(): Find Minimal Grouping Columns for Strata Reconstruction

simplify_unit(): Simplify compound unit expressions

translate_terms(): Translate Terms from One Nomenclature to Another

validate_pk(): Validates data table with raw pk data.

verify_parameters(): Conditionally Verify and Override PK Parameters Based on Sample Type