pairs. The package includes the original human gene symbols and NCBI/Entrez
IDs as well as the equivalents for frequently studied model organisms such
Imports: magrittr, rlang, dplyr (>= 0.7.0), tibble

Imports: magrittr, rlang, dplyr (>= 0.7.0), tibble, tidyselect

pairs. The package includes the human genes as listed in MSigDB as well as
the corresponding symbols and IDs for frequently studied model organisms
such as mouse, rat, pig, fly, and yeast.
Imports: babelgene, dplyr (>= 0.7.0), magrittr, rlang, tibble,

Description: Provides the 'Molecular Signatures Database' (MSigDB) gene
sets typically used with the 'Gene Set Enrichment Analysis' (GSEA)
software (Subramanian et al. 2005 <doi:10.1073/pnas.0506580102>,
Liberzon et al. 2015 <doi:10.1016/j.cels.2015.12.004>) in a standard R
data frame with key-value pairs. The package includes the human genes
as listed in MSigDB as well as the corresponding symbols and IDs for
frequently studied model organisms such as mouse, rat, pig, fly, and

Title: Model-based Sliced Inverse Regression
Description: An R package for dimension reduction based on Gaussian
finite mixture models as an extension to sliced inverse

Description: An R package for dimension reduction based on finite
Gaussian mixture modeling of inverse regression.

Title: Model-Based Sliced Inverse Regression
Description: An R package for dimension reduction based on finite Gaussian mixture modeling of inverse regression.
Imports: stats, utils, graphics, grDevices, rgl

Imports: mclust (>= 5.4), stats, utils, graphics, grDevices

Description: Programmatic access to 'OncoTree' API
<http://oncotree.mskcc.org/>. Get access to tumor main types, identifiers
and utility routines to map across to other tumor classification systems.
Imports: dplyr, glue, httr2, magrittr, memoise, purrr, readr, rlang,

Title: Improved Techniques to Estimate Trend, Velocity and Acceleration
Description: Analysis of annual average ocean water level time series
from long (minimum length 80 years) individual records, providing improved
estimates of trend (mean sea level) and associated real-time velocities and
accelerations. Improved trend estimates are based on Singular Spectrum Analysis
series records. The package also contains a forecasting module to consider the
implication of user defined quantum of sea level rise between the end of the
available historical record and the year 2100. A wide range of screen and pdf
plotting options are available in the package.