Package index • reportRmd

All functions
`add_censor_marks()`	Add censor marks to KM plot
`add_cif_hazard_ratios()`	Add CIF Hazard Ratios to Strata Labels
`add_confidence_bands()`	Add confidence bands to plot
`add_km_hazard_ratios()`	Add hazard ratios to strata labels
`add_median_lines()`	Add median survival lines to plot
`add_median_text()`	Add median survival text to plot
`add_set_time_lines()`	Add survival at set time lines to plot
`add_set_time_text()`	Add survival at set time text to plot
`add_statistical_tests()`	Add statistical test results to plot
`apply_scales_and_guides()`	Apply colour and linetype scales
`boxcoxfitRx()`	fit box cox transformed linear model
`calculate_and_add_median_times()`	Calculate median survival times and add to labels
`calculate_and_add_time_specific_estimates()`	Calculate survival/CIF at specific time points and add to labels
`calculate_cif_median()`	Calculate Median Time to Event for CIF
`calculate_cif_timepoints()`	Calculate CIF Estimates at Specific Time Points
`clear_labels()`	Clear variable labels from a data frame
`covsum()`	Get covariate summary dataframe
`create_base_plot()`	Create base ggplot for survival curves
`create_cif_dataframe()`	Create CIF Plotting Data Frame
`create_cif_risk_table_sfit()`	Create Survival Fit for Risk Table in CIF
`create_km_dataframe()`	Create plotting dataframe for KM curves
`create_risk_table()`	Create risk table for survival plot
`crrRx()`	fit crr model
`ctDNA`	Tumour size change over time Longitudinal changes in tumour size since baseline for patients by changes in ctDNA status (clearance, decrease or increase) since baseline.
`excelCol()`	Retrieve columns number from spreadsheet columns specified as unquoted letters
`excelColLetters()`	Retrieve spreadsheet column letter-names from columns indices
`extract_grays_test()`	Extract Gray's test results from CIF fit
`extract_labels()`	Extract variable labels from labelled data frame
`extract_package_details()`	Extract Function and Package Information from Current Document
`fit_cif_model()`	Fit Competing Risks Model
`fit_km_model()`	Fit Kaplan-Meier survival curves
`forestplot2()`	Create a forest plot using ggplot2 (DEPRECATED)
`forestplotMV()`	Create a multivariable forest plot using ggplot2
`forestplotUV()`	Create a univariable forest plot using ggplot2
`forestplotUVMV()`	Combine univariable and multivariable forest plot (DEPRECATED)
`geoR_boxcoxfit()`	Parameter Estimation for the Box-Cox Transformation
`ggkmcif2()`	Plot KM and CIF curves with ggplot
`ggkmcif2Parameters()`	Additional parameters passed to ggkmcif2
`ggkmcif2_2025`	Plot KM and CIF curves with ggplot
`ggkmcif_paste()`	combine components of a call to ggkmci
`hbld()`	Bold strings for HTML output
`lpvalue2()`	Format p-values for plot annotations
`mvsum()`	Get multivariate summary dataframe
`nestTable()`	Combine two table columns into a single column with levels of one nested within levels of the other.
`outTable()`	Print tables to PDF/Latex HTML or Word
`pembrolizumab`	Survival data Survival status and ctDNA levels for patients receiving pembrolizumab
`plotuv()`	Plot multiple bivariate relationships in a single plot
`process_cif_medians()`	Process CIF Median Values
`process_cif_timepoints()`	Process CIF Time-Specific Estimates
`process_covariate()`	Process covariate variable (factor conversion, numeric cutoffs)
`replace_plot_labels()`	Replace variable names with labels in ggplot
`rm_cifsum()`	Summarize cumulative incidence by group
`rm_compactsum()`	Output a compact summary table
`rm_covsum()`	Add header row to table Outputs a descriptive covariate table
`rm_mvsum()`	Format a regression model nicely for 'Rmarkdown'
`rm_survdiff()`	Display event counts, expected event counts and logrank test of differences
`rm_survsum()`	Summarise survival data by group
`rm_survtime()`	Display survival rates and events for specified times
`rm_uv_mv()`	Combine univariate and multivariable regression tables
`rm_uvsum()`	Output several univariate models nicely in a single table
`scrolling_table()`	Output a scrollable table
`set_labels()`	Set variable labels
`set_var_labels()`	Set variable labels
`validate_and_prepare_data()`	Validate and prepare input data

Reference

All functions