Packaged: 2020-05-03 10:13:59 UTC; brianoconnor

Packaged: 2020-10-27 11:14:32 UTC; brianoconnor

Packaged: 2020-11-06 11:31:34 UTC; brianoconnor

Packaged: 2021-06-19 09:31:15 UTC; brianoconnor

Packaged: 2021-10-30 10:59:46 UTC; brianoconnor

Imports: graphics, stats, BayesFactor, MVN
Packaged: 2022-01-03 11:15:31 UTC; brianoconnor

Imports: graphics, stats, BayesFactor, MVN, utils
Packaged: 2022-07-31 08:29:40 UTC; brianoconnor

Title: Differential Functioning of Items and Tests (DFIT) framework
Author: Victor H. Cervantes <vcervantes@icfes.gov.co, vhcervantesb@unal.edu.co>
Maintainer: Victor H. Cervantes <vhcervantesb@unal.edu.co>
Description: A set of functions to perform Raju, van der Linden and Fleer's
(1995) Differential Item and Item Functioning (DFIT) analyses. It includes
functions to use the Monte Carlo Item Parameter Replication (IPR) approach
(Oshima, Raju, & Nanda, 2006) for obtaining the associated statistical
significance tests cut-off points. They may also be used for a priori and
Copyright: Instituto Colombiano para la Evaluacion de la Educacion -

Title: Differential Functioning of Items and Tests
(1995) Differential Functioning of Items and Tests (DFIT) analyses. It includes
functions to use the Monte Carlo Item Parameter Replication  approach

Author: Victor H. Cervantes <vhcervantesb@unal.edu.co>
and Tests (DFIT) analyses. It includes functions to use the Monte Carlo Item
Parameter Replication approach (Oshima, Raju, & Nanda, 2006, doi:10.1111/j.
1745-3984.2006.00001.x) for obtaining the associated statistical significance
tests cut-off points. They may also be used for a priori and post-hoc power

Imports: msm, mirt, simex, mvtnorm, ggplot2
Parameter Replication approach (Oshima, Raju, & Nanda, 2006, <doi:10.1111/j.1745-3984.2006.00001.x>)
for obtaining the associated statistical significance

Package: DGCA
Title: Differential Gene Correlation Analysis
Description: Performs differential correlation analysis on input
matrices, with multiple conditions specified by a design matrix. Contains
functions to filter, process, save, visualize, and interpret differential
correlations of identifier-pairs across the entire identifier space, or with
respect to a particular set of identifiers (e.g., one). Also contains several
functions to perform differential correlation analysis on clusters (i.e., modules)
or genes. Finally, it contains functions to generate empirical p-values for the
hypothesis tests and adjust them for multiple comparisons. Although the package
was built with gene expression data in mind, it is applicable to other types of
genomics data as well, in addition to being potentially applicable to data from
other fields entirely. It is described more fully in the manuscript
introducing it, freely available at <doi:10.1186/s12918-016-0349-1>.
Version: 1.0.1
Author: Bin Zhang [aut],
Andrew McKenzie [aut, cre]
Maintainer: Andrew McKenzie <amckenz@gmail.com>
Depends: R (>= 3.2)
Imports: WGCNA, matrixStats, methods
Suggests: knitr, impute, gplots, fdrtool, testthat, ggplot2, plotrix,
GOstats, HGNChelper, org.Hs.eg.db, AnnotationDbi, abind,
MEGENA, Matrix, doMC, igraph, cowplot, stats, utils
VignetteBuilder: knitr
RoxygenNote: 5.0.1
License: GPL-3
LazyData: true
NeedsCompilation: no
Packaged: 2016-11-17 15:51:18 UTC; amckenz
Repository: CRAN
Date/Publication: 2016-11-17 18:33:47