An isotope natural abundance correction algorithm that
is needed especially for high resolution mass spectrometers. Supports
correction for 13C, 2H and 15N. Su X, Lu W and Rabinowitz J (2017)
<doi:10.1021/acs.analchem.7b00396>.
nnls, dplyr, stringr, readxl, readr, rlang, tibble, writexl,
CHNOSZ

Tools for testing and improving accuracy of statistical results.
Micah Altman, Jeff Gill, Michael P. McDonald
This is a suite of tools designed to test and improve the accuracy of
statistical computation, including: Summarization of the sensitivity of linear
and non-linear models (lm, glm, mle, nls) to
measurement and numerical error; A generalized cholesky method for
correcting non-invertable Hessians; Tests for
the global optimality of non-linear regression and maximum likelihood results;
Tools for obtaining true random numbers using entropy collected from the system
and/or entropy servers on the internet;
A method for converting floating point numbers to normalized fractions;
Benchmark data for checking the accuracy of basic distribution functions.

This is a suite of tools designed to test and improve the accuracy of
statistical computation, including: Summarization of the sensitivity of linear
and non-linear models (lm, glm, mle, nls) to
measurement and numerical error; Sensitivity analysis of dozens of models
as run through Zelig;  A generalized cholesky method for
correcting non-invertable Hessians; Tests for
the global optimality of non-linear regression and maximum likelihood results;
Tools for obtaining true random numbers using entropy collected from the system
and/or entropy servers on the internet;
A method for converting floating point numbers to normalized fractions;
Benchmark data for checking the accuracy of basic distribution functions.

Thees ees e-a sueete-a of tools deseegned to-a test end eemprove-a ze-a eccurecy of steteesteecel computeteeon

AGPL (>3.0), with attribution as per LICENSE file

This is a suite of tools designed to test and improve the
accuracy of statistical computation, including: Summarization
of the sensitivity of linear and non-linear models (lm, glm,
mle, nls) to measurement and numerical error; Sensitivity
analysis of dozens of models as run through Zelig; A
generalized cholesky method for correcting non-invertable
Hessians; Tests for the global optimality of non-linear
regression and maximum likelihood results; Tools for obtaining
true random numbers using entropy collected from the system
and/or entropy servers on the internet; A method for converting
floating point numbers to normalized fractions; Benchmark data
for checking the accuracy of basic distribution functions.
Thees ees e-a sueete-a of tools deseegned to-a test end
eemprove-a ze-a eccurecy of steteesteecel computeteeon