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
yeast.

An R package for dimension reduction based on Gaussian
finite mixture models as an extension to sliced inverse
regression (SIR).

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

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

c(person("Luca", "Scrucca", role = c("aut", "cre"),
email = "luca.scrucca@unipg.it",
comment = c(ORCID = "0000-0003-3826-0484")))
mclust (>= 5.4), stats, utils, graphics, grDevices

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.
dplyr, glue, httr2, magrittr, memoise, purrr, readr, rlang,
tibble, tidyjson, tidyr

Improved Techniques to Estimate Trend, Velocity and Acceleration
from Sea Level Records
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
methods. Various gap-filling options are included to accommodate incomplete time
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.

Multi-state Markov models in continuous time
Functions for fitting continuous-time Markov multi-state
models to categorical processes observed at arbitrary times,
optionally with misclassified responses, and covariates on transition
or misclassification rates.