Title: Obtain and Visualize Regulome-Gene Expression Correlations in
Description: Builds a 'SQLite' database file of pre-calculated transcription
factor/microRNA-gene correlations (co-expression) in cancer from the
'miRCancerdb' databases (in press). Provides custom classes and functions
to query, tidy and plot the correlation data.
Imports: DBI, graphics, httr, RSQLite, UpSetR, VennDiagram, magrittr,
dplyr, ggplot2, ggridges, tidyr, reshape2, purrr, grid, R.utils
Suggests: knitr, rmarkdown, testthat, covr, dbplyr, clusterProfiler,
igraph, org.Hs.eg.db, readxl, AnnotationDbi, BiocInstaller

dplyr, ggplot2, ggridges, tidyr, reshape2, purrr, grid,
Suggests: knitr, rmarkdown, testthat, covr, dbplyr, igraph, readxl

Imports: DBI, graphics, httr, RSQLite, UpSetR, VennDiagram, ggplot2,
Suggests: knitr, rmarkdown, testthat, covr, readxl, AnnotationDbi,

Author: Mahmoud Ahmed [aut, cre] (<https://orcid.org/0000-0002-4377-6541>)

Packaged: 2020-05-08 01:28:41 UTC; rstudio-user

Title: Composite-Based Structural Equation Modeling
Authors@R: c(person(given = "Manuel", family = "Rademaker",
person(given = "Florian", family = "Schuberth",
person(given = "Tamara", family = "Schamberger",
person(given = "Michael", family = "Klesel",
person(given = "Theo K.", family = "Dijkstra",
Description: Estimate, assess, test, and study linear, nonlinear, hierarchical
and multigroup structural equation models using composite-based approaches
and procedures, including estimation techniques such as partial least squares
path modeling (PLS-PM) and its derivatives (PLSc, ordPLSc, robustPLSc),
generalized structured component analysis (GSCA), generalized structured
component analysis with uniqueness terms (GSCAm), generalized canonical
correlation analysis (GCCA), principal component analysis (PCA),
factor score regression (FSR) using sum score, regression or
bartlett scores (including bias correction using Croon’s approach),
as well as several tests and typical postestimation procedures
(e.g., verify admissibility of the estimates, assess the model fit,
Imports: abind, alabama, cli, crayon, expm, future.apply, future,
lavaan, magrittr, MASS, Matrix, matrixcalc, matrixStats,
polycor, psych, purrr, Rdpack, stats, symmoments, utils
Suggests: dplyr, tidyr, knitr, nnls, prettydoc, rmarkdown, listviewer,
Author: Manuel Rademaker [aut, cre] (<https://orcid.org/0000-0002-8902-3561>),