Author: Noory Y. Kim. Advisors: Shrikant I. Bangdiwala, Gerald Gartlehner.
Description: This package contains R functions to gauge the impact of unpublished studies upon the meta-analytic summary effect of a set of published studies. (Credits: The research leading to these results has received funding from the European Union's Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 282574.)
Packaged: 2013-09-23 15:54:15 UTC; tamarahowerton

person("Tom", "Carruthers", email = "tom@bluematterscience.com", role = "aut"),
person("Adrian", "Hordyk", email = "adrian@bluematterscience.com", role = "aut"))
Description: Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform data-rich fisheries.
'SAMtool' provides a conditioning model, assessment models of varying complexity with standardized reporting,
model-based management procedures, and diagnostic tools for evaluating assessments inside closed-loop simulation.
Imports: TMB, corpcor, dplyr, gplots, grDevices, graphics, methods,
Suggests: knitr, testthat, shiny, mvtnorm, reshape2

Imports: TMB, corpcor, dplyr, gplots, graphics, methods, snowfall,
Suggests: knitr, testthat, shiny, mvtnorm, reshape2, caret, ggplot2

Imports: TMB, corpcor, dplyr, gplots, graphics, methods, rmarkdown,
Suggests: caret, covr, ggplot2, knitr, mvtnorm, numDeriv, reshape2,

Suggests: abind, caret, covr, ggplot2, knitr, mvtnorm, numDeriv,

Imports: TMB (>= 1.8.0), corpcor, dplyr, gplots, graphics, methods,

Imports: TMB (>= 1.9.0), corpcor, dplyr, gplots, graphics, methods,
reshape2, shiny, testthat, tmbstan, usethis

Suggests: abind, caret, covr, ggplot2, Gmisc, knitr, mvtnorm, numDeriv,

Title: Statistical Analysis and Programming
Authors@R: person("Hasan","Bulut",email = "hasan.bulut@omu.edu.tr", role = c("aut", "cre"))
Description: The Hypothesis tests for the means of independent or paired groups.
This package investigates the normality assumption automatically.
Then, it tests the hypothesis tests for two independent or paired group means
by using parametric or non-parametric tests. It uses the Shapiro-Wilk test to
test the normality assumption. For independent two groups, If data comes from
the normal distribution, the package uses the Z or t-test according to whether
variances are known. For paired groups, it uses paired t-test under normal data
sets. If data does not come from the normal distribution, the package uses the
Wilcoxon test for independent and paired cases.