A C D E F G H I K L M O P R S T U misc
| tern-package | tern Package |
| add_riskdiff | Split Function to Configure Risk Difference Column |
| add_rowcounts | Layout Creating Function to Add Row Total Counts |
| aesi_label | Labels for Adverse Event Baskets |
| analyze_colvars_functions | Analyze Functions on Columns |
| analyze_functions | Analyze Functions |
| analyze_num_patients | Number of Patients |
| analyze_variables | Analyze Variables |
| analyze_vars | Analyze Variables |
| analyze_vars_in_cols | Summary numeric variables in columns |
| append_varlabels | Add Variable Labels to Top Left Corner in Table |
| arrange_grobs | Arrange Multiple Grobs |
| as.rtable | Convert to 'rtable' |
| as.rtable.data.frame | Convert to 'rtable' |
| a_compare | Compare Variables Between Groups |
| a_count_occurrences | Occurrence Counts |
| a_count_occurrences_by_grade | Occurrence Counts by Grade |
| a_count_patients_with_event | Count the Number of Patients with a Particular Event |
| a_count_patients_with_flags | Count the Number of Patients with Particular Flags |
| a_count_values | Counting Specific Values |
| a_coxreg | Cox Proportional Hazards Regression |
| a_length_proportion | Estimation of Proportions per Level of Factor |
| a_odds_ratio | Odds Ratio Estimation |
| a_proportion | Estimation of Proportions |
| a_proportion_diff | Proportion Difference |
| a_summary | Analyze Variables |
| CombinationFunction | Combination Functions Class |
| CombinationFunction-class | Combination Functions Class |
| combination_function | Combination Functions Class |
| combine_counts | Combine Counts |
| combine_groups | Reference and Treatment Group Combination |
| combine_levels | Combine Factor Levels |
| combine_vectors | Combine Two Vectors Element Wise |
| compare_variables | Compare Variables Between Groups |
| compare_vars | Compare Variables Between Groups |
| control_analyze_vars | Control Function for Descriptive Statistics |
| control_coxph | Control Function for 'CoxPH' Model |
| control_coxreg | Controls for Cox Regression |
| control_incidence_rate | Control function for incidence rate |
| control_lineplot_vars | Control Function for 'g_lineplot' Function |
| control_logistic | Control Function for Logistic Regression Model Fitting |
| control_step | Control Function for Subgroup Treatment Effect Pattern (STEP) Calculations |
| control_summarize_vars | Control Function for Descriptive Statistics |
| control_surv_time | Control Function for 'survfit' Model for Survival Time |
| control_surv_timepoint | Control Function for 'survfit' Model for Patient's Survival Rate at time point |
| count_occurrences | Occurrence Counts |
| count_occurrences_by_grade | Occurrence Counts by Grade |
| count_patients_with_event | Count the Number of Patients with a Particular Event |
| count_patients_with_flags | Count the Number of Patients with Particular Flags |
| count_values | Counting Specific Values |
| count_values_funs | Counting Specific Values |
| cox_regression | Cox Proportional Hazards Regression |
| cox_regression_inter | Cox Regression Helper: Interactions |
| create_afun_compare | Constructor Function for 'compare_vars()' |
| create_afun_summary | Constructor Function for 'analyze_vars()' and 'summarize_colvars()' |
| cut_quantile_bins | Cutting Numeric Vector into Empirical Quantile Bins |
| day2month | Conversion of Days to Months |
| decorate_grob | Add Titles, Footnotes, Page Number, and a Bounding Box to a Grid Grob |
| decorate_grob_set | Decorate Set of 'grobs' and Add Page Numbering |
| default_na_str | Default string replacement for 'NA' values |
| default_stats_formats_labels | Get default statistical methods and their associated formats, labels, and indent modifiers |
| df_explicit_na | Encode Categorical Missing Values in a Data Frame |
| draw_grob | Draw 'grob' |
| d_count_abnormal_by_baseline | Description Function for 's_count_abnormal_by_baseline()' |
| d_count_cumulative | Description of Cumulative Count |
| d_count_missed_doses | Description Function that Calculates Labels for 's_count_missed_doses()'. |
| d_onco_rsp_label | Description of Standard Oncology Response |
| d_pkparam | Generate PK reference dataset |
| d_proportion | Description of the Proportion Summary |
| d_proportion_diff | Description of Method Used for Proportion Comparison |
| d_rsp_subgroups_colvars | Labels for Column Variables in Binary Response by Subgroup Table |
| d_survival_subgroups_colvars | Labels for Column Variables in Survival Duration by Subgroup Table |
| d_test_proportion_diff | Description of the Difference Test Between Two Proportions |
| estimate_multinomial_response | Estimation of Proportions per Level of Factor |
| estimate_multinomial_rsp | Estimation of Proportions per Level of Factor |
| estimate_odds_ratio | Odds Ratio Estimation |
| estimate_proportion | Estimation of Proportions |
| estimate_proportions | Estimation of Proportions |
| estimate_proportion_diff | Proportion Difference |
| explicit_na | Missing Data |
| extract_rsp_biomarkers | Prepares Response Data Estimates for Multiple Biomarkers in a Single Data Frame |
| extract_rsp_subgroups | Prepares Response Data for Population Subgroups in Data Frames |
| extract_survival_biomarkers | Prepares Survival Data Estimates for Multiple Biomarkers in a Single Data Frame |
| extract_survival_subgroups | Prepares Survival Data for Population Subgroups in Data Frames |
| extreme_format | Formatting Extreme Values |
| ex_data | Simulated 'CDISC' Data for Examples |
| fct_collapse_only | Collapsing of Factor Levels and Keeping Only Those New Group Levels |
| fct_discard | Discard Certain Levels from a Factor |
| fct_explicit_na_if | Insertion of Explicit Missings in a Factor |
| fit_coxreg | Fits for Cox Proportional Hazards Regression |
| fit_coxreg_multivar | Fits for Cox Proportional Hazards Regression |
| fit_coxreg_univar | Fits for Cox Proportional Hazards Regression |
| fit_logistic | Fit for Logistic Regression |
| fit_rsp_step | Subgroup Treatment Effect Pattern (STEP) Fit for Binary (Response) Outcome |
| fit_survival_step | Subgroup Treatment Effect Pattern (STEP) Fit for Survival Outcome |
| forest_viewport | Create a Viewport Tree for the Forest Plot |
| formatting_functions | Formatting Functions |
| format_auto | Automatic formats from data significant digits |
| format_count_fraction | Formatting Count and Fraction |
| format_count_fraction_fixed_dp | Formatting Count and Percentage with Fixed Single Decimal Place |
| format_count_fraction_lt10 | Formatting Count and Fraction with Special Case for Count < 10 |
| format_extreme_values | Formatting a Single Extreme Value |
| format_extreme_values_ci | Formatting Extreme Values Part of a Confidence Interval |
| format_fraction | Formatting Fraction and Percentage |
| format_fraction_fixed_dp | Formatting Fraction and Percentage with Fixed Single Decimal Place |
| format_fraction_threshold | Formatting Fraction with Lower Threshold |
| format_sigfig | Formatting Numeric Values By Significant Figures |
| format_xx | Formatting: XX as Formatting Function |
| f_conf_level | Utility function to create label for confidence interval |
| f_pval | Utility function to create label for p-value |
| get_formats_from_stats | Get default statistical methods and their associated formats, labels, and indent modifiers |
| get_indents_from_stats | Get default statistical methods and their associated formats, labels, and indent modifiers |
| get_labels_from_stats | Get default statistical methods and their associated formats, labels, and indent modifiers |
| get_smooths | Smooth Function with Optional Grouping |
| get_stats | Get default statistical methods and their associated formats, labels, and indent modifiers |
| groups_list_to_df | Convert List of Groups to Data Frame |
| g_forest | Create a Forest Plot based on a Table |
| g_ipp | Individual Patient Plots |
| g_km | Kaplan-Meier Plot |
| g_lineplot | Line plot with the optional table |
| g_step | Create a STEP Graph |
| g_waterfall | Horizontal Waterfall Plot |
| has_counts_difference | Occurrence Table Pruning |
| has_count_in_any_col | Occurrence Table Pruning |
| has_count_in_cols | Occurrence Table Pruning |
| has_fractions_difference | Occurrence Table Pruning |
| has_fraction_in_any_col | Occurrence Table Pruning |
| has_fraction_in_cols | Occurrence Table Pruning |
| h_adlb_abnormal_by_worst_grade | Helper function to prepare 'ADLB' for 'count_abnormal_by_worst_grade()' |
| h_adlb_worsen | Helper Function to Prepare 'ADLB' with Worst Labs |
| h_adsl_adlb_merge_using_worst_flag | Helper Function for Deriving Analysis Datasets for 'LBT13' and 'LBT14' |
| h_ancova | Helper Function to Return Results of a Linear Model |
| h_append_grade_groups | Helper function for 's_count_occurrences_by_grade()' |
| h_col_indices | Obtain Column Indices |
| h_count_cumulative | Helper Function for 's_count_cumulative()' |
| h_coxph_df | Helper Functions for Tabulating Survival Duration by Subgroup |
| h_coxph_subgroups_df | Helper Functions for Tabulating Survival Duration by Subgroup |
| h_coxreg_extract_interaction | Cox Regression Helper: Interactions |
| h_coxreg_inter_effect | Cox Regression Helper: Interactions |
| h_coxreg_inter_effect.character | Cox Regression Helper: Interactions |
| h_coxreg_inter_effect.factor | Cox Regression Helper: Interactions |
| h_coxreg_inter_effect.numeric | Cox Regression Helper: Interactions |
| h_coxreg_inter_estimations | Cox Regression Helper: Interactions |
| h_coxreg_multivar_extract | Helper Functions for Cox Proportional Hazards Regression |
| h_coxreg_multivar_formula | Helper Functions for Cox Proportional Hazards Regression |
| h_coxreg_mult_cont_df | Helper Functions for Tabulating Biomarker Effects on Survival by Subgroup |
| h_coxreg_univar_extract | Helper Functions for Cox Proportional Hazards Regression |
| h_coxreg_univar_formulas | Helper Functions for Cox Proportional Hazards Regression |
| h_cox_regression | Helper Functions for Cox Proportional Hazards Regression |
| h_data_plot | Helper function: tidy survival fit |
| h_decompose_gg | 'ggplot' Decomposition |
| h_format_row | Helper function to get the right formatting in the optional table in 'g_lineplot'. |
| h_format_threshold | Formatting Extreme Values |
| h_get_format_threshold | Formatting Extreme Values |
| h_get_interaction_vars | Helper Functions for Multivariate Logistic Regression |
| h_ggkm | Helper function: KM plot |
| h_glm_interaction_extract | Helper Functions for Multivariate Logistic Regression |
| h_glm_inter_term_extract | Helper Functions for Multivariate Logistic Regression |
| h_glm_simple_term_extract | Helper Functions for Multivariate Logistic Regression |
| h_grob_coxph | Helper Function: 'CoxPH' Grob |
| h_grob_median_surv | Helper Function: Survival Estimation Grob |
| h_grob_tbl_at_risk | Helper: Patient-at-Risk Grobs |
| h_grob_y_annot | Helper: Grid Object with y-axis Annotation |
| h_g_ipp | Helper Function To Create Simple Line Plot over Time |
| h_interaction_coef_name | Helper Functions for Multivariate Logistic Regression |
| h_interaction_term_labels | Helper Functions for Multivariate Logistic Regression |
| h_km_layout | Helper: KM Layout |
| h_logistic_inter_terms | Helper Functions for Multivariate Logistic Regression |
| h_logistic_mult_cont_df | Helper Functions for Tabulating Biomarker Effects on Binary Response by Subgroup |
| h_logistic_regression | Helper Functions for Multivariate Logistic Regression |
| h_logistic_simple_terms | Helper Functions for Multivariate Logistic Regression |
| h_map_for_count_abnormal | Helper Function to create a map dataframe that can be used in 'trim_levels_to_map' split function. |
| h_odds_ratio | Helper Functions for Odds Ratio Estimation |
| h_odds_ratio_df | Helper Functions for Tabulating Binary Response by Subgroup |
| h_odds_ratio_subgroups_df | Helper Functions for Tabulating Binary Response by Subgroup |
| h_or_cat_interaction | Helper Functions for Multivariate Logistic Regression |
| h_or_cont_interaction | Helper Functions for Multivariate Logistic Regression |
| h_or_interaction | Helper Functions for Multivariate Logistic Regression |
| h_pkparam_sort | Sort Data by PK PARAM Variable |
| h_proportions | Helper Functions for Calculating Proportion Confidence Intervals |
| h_proportion_df | Helper Functions for Tabulating Binary Response by Subgroup |
| h_proportion_subgroups_df | Helper Functions for Tabulating Binary Response by Subgroup |
| h_prop_diff | Helper Functions to Calculate Proportion Difference |
| h_response_biomarkers_subgroups | Helper Functions for Tabulating Biomarker Effects on Binary Response by Subgroup |
| h_response_subgroups | Helper Functions for Tabulating Binary Response by Subgroup |
| h_rsp_to_logistic_variables | Helper Functions for Tabulating Biomarker Effects on Binary Response by Subgroup |
| h_simple_term_labels | Helper Functions for Multivariate Logistic Regression |
| h_split_by_subgroups | Split Dataframe by Subgroups |
| h_split_param | Split parameters |
| h_stack_by_baskets | Helper Function to create a new 'SMQ' variable in 'ADAE' by stacking 'SMQ' and/or 'CQ' records. |
| h_step | Helper Functions for Subgroup Treatment Effect Pattern (STEP) Calculations |
| h_step_rsp_est | Helper Functions for Subgroup Treatment Effect Pattern (STEP) Calculations |
| h_step_rsp_formula | Helper Functions for Subgroup Treatment Effect Pattern (STEP) Calculations |
| h_step_survival_est | Helper Functions for Subgroup Treatment Effect Pattern (STEP) Calculations |
| h_step_survival_formula | Helper Functions for Subgroup Treatment Effect Pattern (STEP) Calculations |
| h_step_trt_effect | Helper Functions for Subgroup Treatment Effect Pattern (STEP) Calculations |
| h_step_window | Helper Functions for Subgroup Treatment Effect Pattern (STEP) Calculations |
| h_survival_biomarkers_subgroups | Helper Functions for Tabulating Biomarker Effects on Survival by Subgroup |
| h_survival_duration_subgroups | Helper Functions for Tabulating Survival Duration by Subgroup |
| h_survtime_df | Helper Functions for Tabulating Survival Duration by Subgroup |
| h_survtime_subgroups_df | Helper Functions for Tabulating Survival Duration by Subgroup |
| h_surv_to_coxreg_variables | Helper Functions for Tabulating Biomarker Effects on Survival by Subgroup |
| h_tab_one_biomarker | Helper Function for Tabulation of a Single Biomarker Result |
| h_tab_rsp_one_biomarker | Helper Functions for Tabulating Biomarker Effects on Binary Response by Subgroup |
| h_tab_surv_one_biomarker | Helper Functions for Tabulating Biomarker Effects on Survival by Subgroup |
| h_tbl_coxph_pairwise | Helper Function: Pairwise 'CoxPH' table |
| h_tbl_median_surv | Helper Function: Survival Estimations |
| h_worsen_counter | Helper Function to Analyze Patients for 's_count_abnormal_lab_worsen_by_baseline()' |
| h_xticks | Helper function: x tick positions |
| imputation_rule | Apply 1/3 or 1/2 Imputation Rule to Data |
| individual_patient_plot | Individual Patient Plots |
| keep_content_rows | Occurrence Table Pruning |
| keep_rows | Occurrence Table Pruning |
| labels_use_control | Update Labels According to Control Specifications |
| level_order | Custom Split Functions |
| logistic_regression_cols | Logistic Regression Multivariate Column Layout Function |
| logistic_summary_by_flag | Logistic Regression Summary Table Constructor Function |
| month2day | Conversion of Months to Days |
| odds_ratio | Odds Ratio Estimation |
| or_clogit | Helper Functions for Odds Ratio Estimation |
| or_glm | Helper Functions for Odds Ratio Estimation |
| prop_agresti_coull | Helper Functions for Calculating Proportion Confidence Intervals |
| prop_clopper_pearson | Helper Functions for Calculating Proportion Confidence Intervals |
| prop_diff | Proportion Difference |
| prop_diff_cmh | Helper Functions to Calculate Proportion Difference |
| prop_diff_ha | Helper Functions to Calculate Proportion Difference |
| prop_diff_nc | Helper Functions to Calculate Proportion Difference |
| prop_diff_strat_nc | Helper Functions to Calculate Proportion Difference |
| prop_diff_wald | Helper Functions to Calculate Proportion Difference |
| prop_jeffreys | Helper Functions for Calculating Proportion Confidence Intervals |
| prop_strat_wilson | Helper Functions for Calculating Proportion Confidence Intervals |
| prop_wald | Helper Functions for Calculating Proportion Confidence Intervals |
| prop_wilson | Helper Functions for Calculating Proportion Confidence Intervals |
| prune_occurrences | Occurrence Table Pruning |
| reapply_varlabels | Reapply Variable Labels |
| ref_group_position | Custom Split Functions |
| response_biomarkers_subgroups | Tabulate Biomarker Effects on Binary Response by Subgroup |
| rtable2gg | Convert 'rtable' object to 'ggplot' object |
| sas_na | Convert Strings to 'NA' |
| score_occurrences | Occurrence Table Sorting |
| score_occurrences_cols | Occurrence Table Sorting |
| score_occurrences_cont_cols | Occurrence Table Sorting |
| score_occurrences_subtable | Occurrence Table Sorting |
| set_default_na_str | Default string replacement for 'NA' values |
| split_cols_by_groups | Split Columns by Groups of Levels |
| stack_grobs | Stack Multiple Grobs |
| stat_mean_ci | Confidence Interval for Mean |
| stat_mean_pval | p-Value of the Mean |
| stat_median_ci | Confidence Interval for Median |
| stat_propdiff_ci | Proportion Difference and Confidence Interval |
| strata_normal_quantile | Helper Function for the Estimation of Stratified Quantiles |
| summarize_colvars | Summarize Variables in Columns |
| summarize_coxreg | Cox Proportional Hazards Regression |
| summarize_functions | Summarize Functions |
| summarize_logistic | Multivariate Logistic Regression Table |
| summarize_num_patients | Number of Patients |
| summarize_occurrences | Occurrence Counts |
| summarize_occurrences_by_grade | Occurrence Counts by Grade |
| summarize_vars | Analyze Variables |
| summary_custom | Get default statistical methods and their associated formats, labels, and indent modifiers |
| summary_formats | Get default statistical methods and their associated formats, labels, and indent modifiers |
| summary_labels | Get default statistical methods and their associated formats, labels, and indent modifiers |
| survival_biomarkers_subgroups | Tabulate Biomarker Effects on Survival by Subgroup |
| s_compare | Compare Variables Between Groups |
| s_compare.character | Compare Variables Between Groups |
| s_compare.factor | Compare Variables Between Groups |
| s_compare.logical | Compare Variables Between Groups |
| s_compare.numeric | Compare Variables Between Groups |
| s_count_occurrences | Occurrence Counts |
| s_count_occurrences_by_grade | Occurrence Counts by Grade |
| s_count_patients_with_event | Count the Number of Patients with a Particular Event |
| s_count_patients_with_flags | Count the Number of Patients with Particular Flags |
| s_count_values | Counting Specific Values |
| s_count_values.character | Counting Specific Values |
| s_count_values.factor | Counting Specific Values |
| s_count_values.logical | Counting Specific Values |
| s_coxreg | Cox Proportional Hazards Regression |
| s_length_proportion | Estimation of Proportions per Level of Factor |
| s_num_patients | Number of Patients |
| s_num_patients_content | Number of Patients |
| s_odds_ratio | Odds Ratio Estimation |
| s_proportion | Estimation of Proportions |
| s_proportion_diff | Proportion Difference |
| s_summary | Analyze Variables |
| s_summary.character | Analyze Variables |
| s_summary.factor | Analyze Variables |
| s_summary.logical | Analyze Variables |
| s_summary.numeric | Analyze Variables |
| tabulate_rsp_biomarkers | Tabulate Biomarker Effects on Binary Response by Subgroup |
| tabulate_survival_biomarkers | Tabulate Biomarker Effects on Survival by Subgroup |
| tern | tern Package |
| tern_default_formats | Get default statistical methods and their associated formats, labels, and indent modifiers |
| tern_default_labels | Get default statistical methods and their associated formats, labels, and indent modifiers |
| tern_default_stats | Get default statistical methods and their associated formats, labels, and indent modifiers |
| tern_ex_adae | Simulated 'CDISC' Data for Examples |
| tern_ex_adlb | Simulated 'CDISC' Data for Examples |
| tern_ex_adpp | Simulated 'CDISC' Data for Examples |
| tern_ex_adrs | Simulated 'CDISC' Data for Examples |
| tern_ex_adsl | Simulated 'CDISC' Data for Examples |
| tern_ex_adtte | Simulated 'CDISC' Data for Examples |
| tidy.coxreg.multivar | Custom Tidy Methods for Cox Regression |
| tidy.coxreg.univar | Custom Tidy Methods for Cox Regression |
| tidy.glm | Custom Tidy Method for Binomial GLM Results |
| tidy.step | Custom Tidy Method for STEP Results |
| tidy.summary.coxph | Custom Tidy Methods for Cox Regression |
| tidy_coxreg | Custom Tidy Methods for Cox Regression |
| to_n | Replicate Entries of a Vector if Required |
| to_string_matrix | Convert Table into Matrix of Strings |
| univariate | Univariate Formula Special Term |
| update_weights_strat_wilson | Helper Function for the Estimation of Weights for 'prop_strat_wilson' |
| utils_split_funs | Custom Split Functions |
| !-method | Combination Functions Class |
| &-method | Combination Functions Class |
| |-method | Combination Functions Class |