Title: A3: Accurate, Adaptable, and Accessible Error Metrics for
Description: This package supplies tools for tabulating and analyzing
the results of predictive models. The methods employed are
applicable to virtually any predictive model and make
comparisons between different methodologies straightforward.

Title: Accurate, Adaptable, and Accessible Error Metrics for Predictive
Description: Supplies tools for tabulating and analyzing the results of predictive models. The methods employed are applicable to virtually any predictive model and make comparisons between different methodologies straightforward.

Title: Reliability and Scoring Routines for the Approach-Avoidance Task
Authors@R: person("Sercan", "Kahveci", email = "sercan.kahveci@sbg.ac.at", role = c("aut", "cre"))
Description: Compute approach bias scores using different scoring algorithms,
compute bootstrapped and exact split-half reliability estimates,
and compute confidence intervals for individual participant scores.
Imports: magrittr, dplyr, doParallel, foreach

Title: Apps Based Activities for Communicating and Understanding
Description: A set of Shiny apps for effective communication and understanding in statistics. The current version includes properties of normal distribution, properties of sampling distribution, one-sample z and t tests, two samples independent (unpaired) t test and analysis of variance.
Suggests: rmarkdown (>= 1.13), knitr (>= 1.22)

Title: Array Based CpG Region Analysis Pipeline
Author: Abdulmonem Alsaleh [cre, aut], Robert Weeks [aut], Ian Morison [aut], RStudio [ctb]
Description: It aims to identify candidate genes that are “differentially
methylated” between cases and controls. It applies Student’s t-test and delta beta analysis to
identify candidate genes containing multiple “CpG sites”.

Description: This package contains code to 1.) construct the summary
statistic needed to facilitate approximate Bayesian computing
for spatial extremes, and then 2.) run the ABC-Rejection method
to produce a set of draws from the ABC posterior.  The
intention is for the user to directly modify the command
>abc.rej() to suit his or her purposes.  In general, ABC
fitting of max-stable processes is very computationally
expensive, and requires advanced programming skills with