Sample Size Adjusted for Nonadherence or Variability of Input Parameters

A set of functions to calculate sample size for two-sample difference in means tests. Does adjustments for either nonadherence or variability that comes from using data to estimate parameters.

'RStudio' Addins to Simplify 'Markdown' Writing

An 'RStudio' addin providing shortcuts for writing in 'Markdown'. This package provides a series of functions that allow the user to be more efficient when using 'Markdown'. For example, you can select a word, and put it in bold or in italics, or change the alignment of elements inside you Rmd. The idea is to map all the functionalities from 'remedy' on keyboard shortcuts, so that it provides an interface close to what you can find in any other text editor.

Noninferiority Tests with Variable Margins

Noninferiority tests for difference in failure rates at a prespecified control rate or prespecified time. For details, see Fay and Follmann, 2016 .

Access Pinterest API

Get information (boards, pins and users) from the Pinterest < http://www.pinterest.com> API.

Formal Parser and Related Tools for R Markdown Documents

An implementation of a formal grammar and parser for R Markdown documents using the Boost Spirit X3 library. It also includes a collection of high level functions for working with the resulting abstract syntax tree.

Ordered Composite Endpoints with Censoring

Estimates win ratio or Mann-Whitney parameter for two group comparisons using ordered composite endpoints with right censoring as described in Follmann, Fay, Hamasaki, and Evans (2020).

Keyboard Shortcuts for 'shiny'

Assign and listen to keyboard shortcuts in 'shiny' using the 'Mousetrap' Javascript library.

Multidimensional Nuclear Magnetic Resonance Peak Fitting and Analysis

Tools for fitting and analyzing 1D-4D nuclear magnetic resonance spectra with analytical models of peak shapes and peak groups. The package reads spectra in 'NMRPipe' format, builds constrained parameter structures for chemical shifts, line widths, scalar couplings, volumes, and phases, and performs nonlinear least-squares optimization for iterative peak discovery or simultaneous fits across multiple spectra. It also provides methods for visualization, preprocessing, and kinetic analysis of 1D time-series data, including automated phase optimization, solvent suppression, time-domain correction for frequency shifts and line broadening, modeling spectra as linear combinations of two component spectra, and exponential rate fitting.

Send Email Messages

A light, simple tool for sending emails with minimal dependencies.

Run Quality Checks on Data Prior to Submission to ICES

Run quality checks on data sets using the same checks that are conducted on the ICES Data Submission Utility (DATSU) < https://datsu.ices.dk>.