Title: Amazon 'Kinesis' Consumer Application for Stream Processing
Description: Fetching data from Amazon 'Kinesis' Streams using the Java-based 'MultiLangDaemon' interacting with Amazon Web Services ('AWS') for easy stream processing from R. For more information on 'Kinesis', see <https://aws.amazon.com/kinesis>.
Imports: AWR, futile.logger, jsonlite, rJava

Title: R package to use Amazon Web Services
Description: R package for Amazon Web Services EC2/S3
Packaged: 2011-10-05 21:08:04 UTC; warmstrong

Packaged: 2012-01-03 00:46:21 UTC; warmstrong

Title: Analyzing Zero-Inflated and Zero-Altered Data
Maintainer: Niloufar Dousti Mousavi <sdoust2@uic.edu>
Description: Computes maximum likelihood estimate of general, zero inflated, and zero altered models for discrete and continuous distributions. Computes Kolmogorov-Smirnov (KS) test and
likelihood ratio test for general, zero-inflated, and zero-altered data.
It obtains the inverse of fisher information matrix and confidence interval for the parameters of general, zero inflated, and zero altered models. It simulate random deviates from zero inflated or hurdle models to obtain maximum likelihood estimate.
It is based on the work of Aldirawi et al. (2022) <doi:10.1007/s42519-021-00230-y>.
Imports: extraDistr (>= 1.9.1), methods (>= 4.0.3), rootSolve (>=
Packaged: 2022-03-09 17:15:00 UTC; nilouimac
Author: Niloufar Dousti Mousavi [aut, cre, cph],

Packaged: 2022-08-08 21:16:59 UTC; nilouimac

Title: Time Resolved Simulations of Antibody Repertoires
Depends: R(>= 3.1.0), ape, poweRlaw, stats
Description: Simulation methods for the evolution of antibody repertoires. The heavy chain variable region of both human and C57BL/6 mice can be simulated in a time-dependent fashion. Both single lineages using one set of V-, D-, and J-genes or full repertoires can be simulated. The algorithm begins with an initial VDJ recombination event, starting the first phylogenetic tree. Upon completion, the main loop of the algorithm begins, with each iteration representing one simulated time step. Various mutation events are possible at each time step, contributing to a diverse final repertoire.