Package: SimpleTable
Version: 0.1-2
Date: 2012-6-2
Title: Bayesian Inference and Sensitivity Analysis for Causal Effects
from 2 x 2 and 2 x 2 x K Tables in the Presence of Unmeasured
Confounding
Author: Kevin M. Quinn <kevin_quinn@harvard.edu>,
Maintainer: Kevin M. Quinn <kquinn@law.berkeley.edu>
Depends: R (>= 2.5.1), hdrcde, locfit, MCMCpack, tcltk
Description: SimpleTable provides a series of methods to conduct
Bayesian inference and sensitivity analysis for causal effects
from 2 x 2 and 2 x 2 x K tables when unmeasured confounding is
present or suspected.
License: GPL-2
Packaged: 2012-06-02 23:00:13 UTC; kevinquinn
Repository: CRAN
Date/Publication: 2012-06-03 06:07:30

Title: Numerical integration of functions over simplices
Author: John P. Nolan, with parts based on code by Alan Genz
Maintainer: John P. Nolan  <jpnolan@american.edu>
Description: This package provides methods to integrate functions over m-dimensional simplices
in n-dimensional Euclidean space.  There are exact methods for polynomials and
adaptive methods for integrating an arbitrary function.

Title: Integration of Functions Over Simplices
Description: Provides methods to integrate functions over m-dimensional simplices
adaptive methods for integrating an arbitrary function.  Dirichlet probabilities

Author: John P. Nolan, with parts adapted from Fortran and matlab code by Alan Genz

Title: Simplifies Pairwise Statistical Analyses
Description: Pairwise group comparisons are often performed. While there are many packages that can perform these analyses, often it is the case that only a subset of comparisons are desired. 'SimplifyStats' performs pairwise comparisons and returns the results in a tidy fashion.
Packaged: 2018-07-01 21:58:49 UTC; ZacharyColburn

Packaged: 2019-03-12 06:32:32 UTC; ZacharyColburn

Packaged: 2020-04-09 05:35:43 UTC; ZacharyColburn

Title: Flexible and Robust Agreement and Reliability Analyses
Authors@R: person("Aaron", "Caldwell", email = "arcaldwell49@gmail.com",
Description: Reliability and agreement analyses often have limited software support. Therefore, this package was created to make agreement and reliability analyses easier for the average researcher. The functions within this package include simple tests of agreement, agreement analysis for nested and replicate data, and provide robust analyses of reliability. In addition, this package contains a set of functions to help when planning studies looking to assess measurement agreement. For robust analyses of agreement, limits of agreement through a bootstrap method can also be calculated.
Imports: ggplot2, emmeans, lme4, boot, stats, dplyr, magrittr,
tidyselect, tidyr, sjstats, stringr, cccrm, jmvcore
Suggests: knitr, rmarkdown, testthat, tidyverse, readr, ggpubr, covr