Description: Atlantis is an end-to-end marine ecosystem modelling framework. It was originally developed in Australia by E.A. Fulton, A.D.M. Smith and D.C. Smith (2007) and has since been adopted in many marine ecosystems around the world (<http://atlantis.cmar.csiro.au>). The output of an Atlantis simulation is stored in various file formats like .netcdf and .txt and different output structures are used for the output variables like e.g. productivity or biomass. This package is used to convert the different output types to a unified format according to the "tidy-data" approach by H. Wickham (2014) <DOI:10.18637/jss.v059.i10>. Additionally, ecological metrics like for example spatial overlap of predator and prey or consumption can be calculated and visualised with this package. Due to the unified data structure it is very easy to share model output with each other and perform model comparisons.
Packaged: 2017-08-16 08:05:54 UTC; alexanderke

Title: Stanford 'ATLAS' Search Engine API
Description: Stanford 'ATLAS' (Advanced Temporal Search Engine) is a powerful tool that allows constructing
cohorts of patients extremely quickly and efficiently. This package is designed to interface directly
with an instance of 'ATLAS' search engine and facilitates API queries and data dumps. Prerequisite

Description: An R package for creating additive models with
semiparametric predictors, emphasizing term objects, especially
(1) implementation of a term class hierarchy, and (2)
interpretation and evaluation of term estimates as functions of

Title: Automatically Tuned Markov Chain Monte Carlo
Description: Uses adaptive diagnostics to tune and run a random walk Metropolis MCMC algorithm, to converge to a specified target distribution and estimate means of functionals.

Title: Analysis of technical market indicators
Author: Waldemar Kemler, Peter Schaffner, <atmi.info@gmail.com>
Maintainer: Waldemar Kemler, Peter Schaffner, <atmi.info@gmail.com>
Description: Analysis and usage of the trading rules, which are based
on technical market indicators as well as on the time series