Package index

Statistics Functions

Statistics functions should do the computation of the numbers that are tabulated later. In order to separate computation from formatting, they should not take care of rcell type formatting themselves.

s_rbmi_lsmeans() experimental

Statistics function which is extracting estimates from a tidied LS means data frame.

Formatted Analysis functions

These have the same arguments as the corresponding statistics functions, and can be further customized by calling rtables::make_afun() on them. They are used as afun in rtables::analyze().

a_rbmi_lsmeans() experimental

Formatted Analysis function which can be further customized by calling rtables::make_afun() on it. It is used as afun in rtables::analyze().

Analyze Functions

Analyze Functions are used in combination with the rtables layout functions, in the pipeline which creates the table.

summarize_rbmi() experimental

Analyze function for tabulating LS means estimates from tidied rbmi pool results.

Analysis Helper Functions

these functions are useful to help definining the analysis

h_tidy_pool() experimental

Helper function to produce data frame with results of pool for a single visit

Helper method

Helper method

tidy(<pool>) experimental

Helper method (for broom::tidy()) to prepare a data frame from an pool rbmi object containing the LS means and contrasts and multiple visits

Test data

Test data

rbmi_test_data experimental

Example dataset for tern.rbmi package. This is an pool object from the rbmi analysis, see browseVignettes(package = "tern.rbmi")