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Merge pull request #163 from Merck/readmeupdate
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Update readme for CRAN release
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nanxstats authored Nov 30, 2023
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## Overview

simtrial is an R package built initially to focus on evaluating weighted
logrank tests and combination tests based on such tests.
simtrial is intended to be a general purpose tool for simulating fixed, group sequential or adaptive clinical trials.
It allows stratified populations and flexible parameters for generating enrollment, event times, dropout times.
It takes care of bookkeeping to enable easily going from data generation to creating analysis datasets for evaluation of standard or innovative designs and testing procedures.
For a single endpoint, it will easily generate trials with multiple arms (e.g., a single or multiple experimental arms versus a common control) and multiple study populations (e.g., overall population and biomarker positive).
While tools are built into the package for logrank and weighted logrank tests, arbitrary testing and estimation procedures are easily applied.
In addition to weighted logrank tests, we support combinations of weighted logrank tests (e.g., the MaxCombo test).
The package used piecewise constant enrollment, failure and dropout rates as a simple model
able to approximate arbitrary distributions easily.
This model also enables simulating non-proportional hazards assumptions that are transparent for users to explain to non-statistical collaborators.

simtrial is designed with a core philosophy of basing most computations on
efficient table transformations and to have a package that is easy to qualify
for use in regulated environments.
It utilizes the blazingly fast data.table for tabular data processing,
enhanced by C++ implementations to ensure optimal performance.
However, it does not require the user to be a data.table or C++ user.

Initial areas of focus are:

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