Title: Computing Response Similarity Indices for Multiple-Choice Tests
Description: Contains several IRT and non-IRT based response similarity indices proposed in the literature for multiple-choice examinations such as the Omega index, Wollack (1997) <doi:10.1177/01466216970214002>; Generalized Binomial Test, van der Linden & Sotaridona (2006) <doi:10.3102/10769986031003283>; K index, K1 and K2 indices, Sotaridona & Meijer (2002) <doi:10.1111/j.1745-3984.2002.tb01138.x>;  and S1 and S2 indices, Sotaridona & Meijer (2003) <doi:10.1111/j.1745-3984.2003.tb01096.x>.

Title: Baseline Correction for Copy Number Data from Cancer Samples
Author: Nour-al-dain Marzouka [aut, cre]
Description: The 450k arrays are frequently used in the epigenetic studies, the copy number calling from the 450k data is possible but it faces some difficulties in cancer samples regarding the determination of the copy number status due to the false sample centering and baseline shifting. Without solving this issue the CN calling will be inaccurate. CopyNumber450kCancer-package was designed to correct the baseline in cancer samples using the Maximum Density Peak Estimation (MDPE) method.
The main advantages for CopyNumber450kCancer-package are: Fast (few seconds per sample), high accuracy rate, in-sample correction, no input parameters needed, low computer sources required, and adaptable for 450k-similar technologies.

Title: Generate High-Dimensional Binary Data with Correlation
Author: Shuang Song [aut, cre], Wei Jiang [aut], Lin Hou [aut] and Hongyu Zhao [aut]
Description: We design algorithms with linear time complexity with respect to the dimension for three commonly studied correlation structures, including exchangeable, decaying-product and K-dependent correlation structures, and extend the algorithms to generate binary data of general non-negative correlation matrices with quadratic time complexity. Jiang, W., Song, S.,  Hou, L. and Zhao, H. "CorBin: An efficient R package to generate high-dimensional binary data with correlation structures." Submitted to Journal of Statistical Software.