Author: Yu Jiang, Cen Wu, Steve Simon, Matthew S. Mayo , Rama Raghavan, Byron J. Gajewski

Author: Junhao Liu, Yu Jiang, Cen Wu, Steve Simon, Matthew S. Mayo, Rama Raghavan, Byron J. Gajewski

Title: Accrual Plots and Predictions for Clinical Trials
person(given = "Lukas", family = "Bütikofer", role = c("cre", "aut"),
person(given = "Alan G.", family = "Haynes", role = "aut",
Description: Tracking accrual in clinical trials is important for trial success.
If accrual is too slow, the trial will take too long and be too expensive. If
accrual is much faster than expected, time sensitive tasks such as the writing
of statistical analysis plans might need to be rushed. 'accrualPlot' provides
functions to aid the tracking of accrual and predict when a trial will reach
Imports: dplyr, ggplot2, grid, magrittr, purrr, rlang
Suggests: knitr, markdown, patchwork, rmarkdown, testthat, vdiffr
Packaged: 2022-05-06 08:07:57 UTC; lbuetikofer

Packaged: 2022-08-16 07:13:34 UTC; lbuetikofer

Title: Visualization tools for partially accruing data
Description: Package for visualizing data quality of partially accruing time series.

Title: Data Quality Visualization Tools for Partially Accruing Data
Description: Package for visualizing data quality of partially accruing data.

Title: Natural Abundance Correction of Mass Spectrometer Data
Description: An isotope natural abundance correction algorithm that
is needed especially for high resolution mass spectrometers. Supports
Imports: gsubfn, nnls, dplyr, stringr, readxl, readr, rlang, tibble,
Author: Xiaoyang Su [aut] (<https://orcid.org/0000-0001-8081-1396>),
Lance Parsons [aut, cre] (<https://orcid.org/0000-0002-8521-714X>),

correction for 13C, 2H and 15N. Su X, Lu W and Rabinowitz J (2017)
Imports: nnls, dplyr, stringr, readxl, readr, rlang, tibble, writexl,

Package: accuracy
Title: Tools for testing and improving accuracy of statistical results.
Version: 0.96
Author: Micah Altman, Jeff Gill, Michael P. McDonald
Description: 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.
Maintainer: Micah Altman <Micah_Altman@harvard.edu>
License: GPL 2.0
URL: http://www.r-project.org, http://www.hmdc.harvard.edu/micah_altman/numal/
Packaged: Wed Jul 14 21:33:22 2004; maltman