Function names

Estimator functions: visR::estimate_xxx

• Input is data set, following the Analysis Data Model (ADaM)
• Typically calculate model estimates together with confidence limits
• Output is a model object

An example is visR::estimate_KM function that estimates the Kaplan-Meier estimates from a Basic Data Structure (BDS) Time-to-Event (TTE) data set. The output is an survfit object.

plotting functions visR::plot, visR::add_xxx

• Recognize the model object and proposes a visual pleasing representation using ggplot2
• Layers can be added
• Plots can be modified using ggplot

An example is visR::plot function that plots the survival function from a survfit object after which a risktable is added using add_risktable

Summary functions: visR::get_xxx

• Recognize the input object and summarizes it accordingly
• output is a data frame with the summarized data