Packaged: 2017-04-07 15:30:13 UTC; Christian

Packaged: 2017-04-23 11:55:44 UTC; Christian

Suggests: knitr, rmarkdown, testthat, dplyr, ggplot2
Packaged: 2018-03-14 20:41:58 UTC; Christian

Packaged: 2018-03-16 02:25:49 UTC; Christian

Maintainer: Christian Hendrik Leschinski <christian_leschinski@gmx.de>
Packaged: 2019-01-31 09:45:00 UTC; Christian

Title: Monte Carlo Data Simulation Package
Authors@R: person(given = "Fatih", family = "Orcan", role = c("aut", "cre"), email = "fatihorcan84@gmail.com", comment = c(ORCID = "0000-0003-1727-0456"))
Description: Monte Carlo simulation allows to test different conditions given to the correct structural equation models. This package runs Monte Carlo simulations under different conditions (such as sample size or normality of data). Within the package data sets can be simulated and run based on the given model.
First, continuous and normal data sets are generated based on the given model. Later Fleishman's power method (1978) <DOI:10.1007/BF02293811> is used to add non-normality if exists.
When data generation is completed (or when generated data sets are given) model test can also be run.
Copyright: Fatih Orcan, Trabzon University, Turkey
Author: Fatih Orcan [aut, cre] (<https://orcid.org/0000-0003-1727-0456>)

Please cite as "Orçan, F. (2021). MonteCarloSEM: An R Package to Simulate Data for SEM. International Journal of Assessment Tools in Education, 8 (3), 704-713."

Description: Identify moonlighting non-coding RNAs at the genome level based on the functional annotation and interactome data of ncRNAs and proteins. MoonFinder provides an extensive framework for the detection of protein modules and establishment of RNA-module associations.
Imports: annotate,igraph, org.Hs.eg.db, pheatmap, clusterProfiler,
Packaged: 2019-02-13 03:29:50 UTC; Administrator

RColorBrewer, grDevices, graphics, stats, utils
biocViews: Annotation, Clustering, GeneSetEnrichment, GO,
Packaged: 2019-10-10 01:33:39 UTC; Administrator

Packaged: 2019-10-26 10:02:44 UTC; Administrator