Title: Benchmarks for High-Performance Computing Environments
Authors@R: person("James", "McCombs", email = "jmccombs@iu.edu", role = c("aut", "cre"))
Description: Microbenchmarks for determining the run time
performance of aspects of the R programming environment and packages
relevant to high-performance computation.  The benchmarks are divided into
three categories: dense matrix linear algebra kernels, sparse matrix linear
algebra kernels, and machine learning functionality.
Imports: utils, mvtnorm, cluster, Matrix

Authors@R: person(role = c("aut", "cre"), given = "Valeria", family = "Blesius", email = "valeria.blesius@mni.thm.de", comment = c(ORCID = "0000-0002-2391-242X"))
Description: Methods to scan RR interval data for Premature Ventricular Complexes (PVCs) and parameterise and plot the resulting Heart Rate Turbulence (HRT). The methodology of HRT analysis is based on the original publication by Schmidt et al. <doi:10.1016/S0140-6736(98)08428-1> and extended with suggestions from <doi:10.1088/1361-6579/ab98b3>.
Suggests: knitr, rmarkdown, testthat, matrixStats
Collate: 'HRT.R' 'avHRT.R' 'HRTList.R' 'Testdata-description.R'
Author: Valeria Blesius [aut, cre] (<https://orcid.org/0000-0002-2391-242X>)

Title: Heart rate variability analysis of ECG data
Author: M. Lado, A. Mendez, L. Rodriguez-Linares, X. Vila
Description: This is a package for developping heart rate varibility studies of ECG records. Data are readed from an ascii file containg a column with beat postions in seconds. A function is included in order to build this file from an ECG record in WFDB format (visit the site http://www.physionet.org for more information).
Packaged: Tue Oct 28 11:32:02 2008; Arturo

Author: M. Lado, A. Mendez, D. Olivieri, L. Rodriguez-Linares, X. Vila
Description: This is a package for developing heart rate variability
Packaged: Mon May 4 10:56:54 2009; Arturo

Packaged: Mon Aug 24 12:15:26 2009; arturo

Author: A. Mendez, L. Rodriguez-Linares, A. Otero, C.A. Garcia, X.

Author: A. Mendez, L. Rodriguez-Linares, A. Otero, C.A. Garcia, X. Vila, M. Lado
Description: Methods and tools for performing Heart Rate Variability analysis
of ECG records. RHRV allows to import data files containing heartbeat positions
in the most broadly used formats; eliminating outliers or spurious points
present in the time series with unacceptable physiological values; plotting HRV
data and performing time domain, frequency domain and nonlinear HRV analysis.
Copyright: Code for the wavelet transform is based on Brandon
Whitcher's work. See file COPYRIGHT for details