RHive is an R extension facilitating distributed computing
via HIVE query.  It provides an easy to use HQL like SQL and R
objects and functions in HQL.
Hadoop core >= 0.20.3
(http://hadoop.apache.org/core/), Hive >= 0.8
(http://hive.apache.org/)

Hidden Markov Models simulations and estimations
Discrete, univariate or multivariate gaussian,
mixture of univariate gaussian HMM functions for simulation and estimation.

Discrete, univariate or multivariate gaussian,
mixture of univariate or multivariate gaussian HMM functions for simulation and estimation.

Discrete, univariate or multivariate gaussian, mixture of univariate or multivariate gaussian HMM functions for simulation and estimation.

Discrete, univariate or multivariate gaussian, mixture of
univariate or multivariate gaussian HMM functions for
simulation and estimation.

Ollivier TARAMASCO <Ollivier.Taramasco@imag.fr>, Sebastian
Bauer <mail@sebastianbauer.info>

Identification of Hybrid Peptides in Immunopeptidomic Analyses
c(person("Frederic", "Saab", role = c("aut", "cre"),
email = "frederic.saab@umontreal.ca"),
person("Peter", "Kubiniok", role = "aut") )
Tool for the analysis Mass Spectrometry (MS) data in the context of
immunopeptidomic analysis for the identification of hybrid
peptides and the predictions of binding affinity of all peptides
using 'netMHCpan' <doi:10.1093/nar/gkaa379> while providing a summary
of the netMHCpan output. 'RHybridFinder' (RHF) is destined for
researchers who are looking to analyze their MS data for the purpose
of identification of potential spliced peptides. This package,
developed mainly in base R, is based on the workflow published by
Faridi et al. in 2018 <doi:10.1126/sciimmunol.aar3947>.
Frederic Saab [aut, cre],
Peter Kubiniok [aut]

Randomization inference for treatment effects on a binary
outcome
Computes attributable effects based confidence set, permutation test confidence set, and asymptotic confidence interval for the average treatment effect on a binary outcome.

Randomization Inference for Treatment Effects on a Binary
Outcome
Joseph Rigdon, Wen Wei Loh, Michael G. Hudgens
Computes attributable effects based confidence interval, permutation
test confidence interval, or asymptotic confidence interval for the
the average treatment effect on a binary outcome.