Functions to fits simple linear regression models with log normal errors 
		and identity link, i.e. taking the responses on the original scale. See
		Muggeo (2018) <doi:10.13140/RG.2.2.18118.16965>.

Uses approximations to compute the natural logarithm of the Gamma
    function for large values.

An interface for 'NetLogo' <https://www.netlogo.org> that enables
    programmatic setup and execution of simulations. Designed to facilitate
    integrating 'NetLogo' models into reproducible workflows by creating and
    running 'BehaviorSpace' experiments and retrieving their results.

Access to the Greek New Testament (27 books) and the Old Testament (39 books) and allow users to do textual analysis on the data. The New and Old Testament have been provided in their original languages, Greek and Hebrew, respectively. Additionally, the Revised American Standard Bible is also provided for users who'd rather use a word–for–word modern English translation.

Contains functions to help create log files.  The 
    package aims to overcome the difficulty of the base R sink() command.  The
    log_print() function will print to both the console and the file log, 
    without interfering in other write operations.

Tools for assessing equivalence of similar Logistic Regression models.

A utility to facilitate the logging and review of R programs in clinical trial programming workflows.

This is an extension package to 'logrx', which is a log creation 
  program focused on Clinical Reporting within the Pharma Industry.  This package 
  enables a simple 'shiny-based' Add-in that provides a point and click interface 
  to produce a log for a single program.

Contains routines for logspline density estimation.
	The function oldlogspline() uses the same algorithm as the logspline package
	version 1.0.x; i.e. the Kooperberg and Stone (1992) 
	algorithm (with an improved interface).  The recommended routine logspline()
	uses an algorithm from Stone et al (1997)  <DOI:10.1214/aos/1031594728>.

Provides efficient tools for calculating Stirling numbers of the 
    second kind and their logarithms. Includes an exact arbitrary-precision 
    implementation using 'gmp' that avoids numerical cancellation, a fast 
    C++ backend with internal caching for log-scale calculations, and 
    Temme's asymptotic approximation for very large inputs.