Testing CRAN and Bioconductor mirror speed by recording download time of 'src/base/COPYING' (for CRAN) and 'packages/release/bioc/html/ggtree.html' (for Bioconductor).

The tools for 'MicroRNA Set Enrichment Analysis' can identify risk pathways(or prior gene sets) regulated by microRNA set in the context of microRNA expression data. (1) This package constructs a correlation profile of microRNA and pathways by the hypergeometric statistic test. The gene sets of pathways derived from the three public databases (Kyoto Encyclopedia of Genes and Genomes ('KEGG'); 'Reactome'; 'Biocarta') and the target gene sets of microRNA are provided by four databases('TarBaseV6.0'; 'mir2Disease'; 'miRecords'; 'miRTarBase';). (2) This package can quantify the change of correlation between microRNA for each pathway(or prior gene set) based on a microRNA expression data with cases and controls. (3) This package uses the weighted Kolmogorov-Smirnov statistic to calculate an enrichment score (ES) of a microRNA set that co-regulate to a pathway , which reflects the degree to which a given pathway is associated with the specific phenotype. (4) This package can provide the visualization of the results.

Analysis of discrete response data using
    unidimensional and multidimensional item analysis models under the Item
    Response Theory paradigm (Chalmers (2012) <doi:10.18637/jss.v048.i06>). 
    Exploratory and confirmatory item factor analysis models
	are estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory
    bi-factor and two-tier models are available for modeling item testlets using
	dimension reduction EM algorithms, while multiple group analyses and 
	mixed effects designs are included for detecting differential item, bundle, 
	and test functioning, and for modeling item and person covariates. 
	Finally, latent class models such as the DINA, DINO, multidimensional latent class, 
	mixture IRT models, and zero-inflated response models are supported, as well 
	as a wide family of probabilistic unfolding models.