Title: Hidden Markov Models simulations and estimations
Description: Discrete, univariate or multivariate gaussian,
mixture of univariate gaussian HMM functions for simulation and estimation.
Packaged: Wed Nov  7 08:41:18 2007; Taram

Packaged: Thu Nov  8 10:07:36 2007; Taram

mixture of univariate or multivariate gaussian HMM functions for simulation and estimation.
Packaged: Tue Nov 20 13:13:45 2007; Taram

Packaged: Fri Nov 23 07:51:30 2007; Taram

Packaged: Thu Jun 26 17:14:30 2008; Taram

Packaged: Mon Aug 11 04:34:45 2008; theussl

Description: Discrete, univariate or multivariate gaussian, mixture of univariate or multivariate gaussian HMM functions for simulation and estimation.
Packaged: Sun Nov 30 04:55:17 2008; theussl

Description: Discrete, univariate or multivariate gaussian, mixture of
univariate or multivariate gaussian HMM functions for

Author: Ollivier TARAMASCO, Sebastian Bauer
Maintainer: Ollivier TARAMASCO <Ollivier.Taramasco@imag.fr>, Sebastian

Title: Identification of Hybrid Peptides in Immunopeptidomic Analyses
Authors@R: c(person("Frederic", "Saab", role = c("aut", "cre"),
person("Peter", "Kubiniok", role = "aut") )
Description: 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>.

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

Title: Randomization Inference for Treatment Effects on a Binary
Author: Joseph Rigdon, Wen Wei Loh, Michael G. Hudgens
Maintainer: Wen Wei Loh <wwloh@email.unc.edu>
Description: Computes attributable effects based confidence interval, permutation
test confidence interval, or asymptotic confidence interval for the
the average treatment effect on a binary outcome.