Modified items

All recently modified items, latest first.

dockbeat-1.0.0-1.final.lbn19.x86_64: Dockbeat is the new Dockerbeat name. We had to rename the project due to the Docker trademarking policy. Dockbeat is a Beat used for docker daemon monitoring. It is a lightweight agent that installed on your servers, reads periodically docker container statistics and indexes them in Elasticsearch. Exported document types There are five types of documents exported: type: container: container attributes type: cpu: container CPU usage statistics. One document per container is generated. type: net: container network statistics. One document per network container is generated. type: memory: container memory statistics. One document per container is generated. type: blkio: container io access statistics. One document per container is generated. type: log: dockbeat status information. One document per tick is generated if an error occurred.

apache-cassandra-3.5-1.lbn19.noarch: Cassandra brings together the distributed systems technologies from Dynamo and the data model from Google's BigTable. Like Dynamo, Cassandra is eventually consistent. Like BigTable, Cassandra provides a ColumnFamily-based data model richer than typical key/value systems. For more information see http://cassandra.apache.org/

agento-0.0.0-0.0.1.git2dee66c.lbn19.x86_64: Client/server collecting near realtime metrics from Linux hosts. Uses influxdb as backend.

R-zoo-1.7.13-3.lbn19.x86_64: An S3 class with methods for totally ordered indexed observations. It is particularly aimed at irregular time series of numeric vectors/matrices and factors. zoo's key design goals are independence of a particular index/date/ time class and consistency with with ts and base R by providing methods to extend standard generics.

R-widgetTools-1.42.0-3.lbn19.noarch: This package contains tools to support the construction of tcltk widgets. This library is part of the bioconductor (bioconductor.org) project

R-wavethresh-4.6.6-5.lbn19.x86_64: Software to perform 1-d and 2-d wavelet statistics and transforms

R-waveslim-1.7.5-2.lbn19.x86_64: Basic wavelet routines for time series (1D), image (2D) and array (3D) analysis. The code provided here is based on wavelet methodology developed in Percival and Walden (2000); Gencay, Selcuk and Whitcher (2001); the dual-tree complex wavelet transform (CWT) from Kingsbury (1999, 2001) as implemented by Selesnick; and Hilbert wavelet pairs (Selesnick 2001, 2002). All figures in chapters 4-7 of GSW (2001) are reproducible using this package and R code available at the book website(s) below.

R-uuid-0.1.2-1.lbn19.x86_64: Tools for generating and handling of UUIDs (Universally Unique Identifiers).

R-tkWidgets-1.42.0-3.lbn19.noarch: Widgets to provide user interfaces. tcltk should have been installed for the widgets to run. This package is a part of the bioconductor (bioconductor.org) project

R-timeDate-3010.98-5.lbn19.noarch: Environment for teaching Financial Engineering and Computational Finance.

R-testthat-0.11.0-3.lbn19.x86_64: A unit testing system designed to be fun, flexible, and easy to set up.

R-systemfit-1.1.15-8.lbn19.noarch: This R package contains functions for fitting simultaneous systems of linear and nonlinear equations using Ordinary Least Squares (OLS), Weighted Least Squares (WLS), Seemingly Unrelated Regressions (SUR), Two-Stage Least Squares (2SLS), Weighted Two-Stage Least Squares (W2SLS), Three-Stage Least Squares (3SLS), and Weighted Three-Stage Least Squares (W3SLS).

R-stringr-1.1.0-1.lbn19.noarch: A consistent, simple and easy to use set of wrappers around the fantastic 'stringi' package. All function and argument names (and positions) are consistent, all functions deal with "NA"'s and zero length vectors in the same way, and the output from one function is easy to feed into the input of another.

R-stringi-1.1.1-1.lbn19.x86_64: Allows for fast, correct, consistent, portable, as well as convenient character string/text processing in every locale and any native encoding. Owing to the use of the ICU library, the package provides R users with platform-independent functions known to Java, Perl, Python, PHP, and Ruby programmers. Among available features there are: pattern searching (e.g., with ICU Java-like regular expressions or the Unicode Collation Algorithm), random string generation, case mapping, string transliteration, concatenation, Unicode normalization, date-time formatting and parsing, etc.

R-statmod-1.4.20-4.lbn19.x86_64: Various statistical modeling functions including growth curve comparisons, limiting dilution analysis, mixed linear models, heteroscedastic regression, Tweedie family generalized linear models, the inverse-Gaussian distribution and Gauss quadrature.

R-sciplot-1.1.0-8.lbn19.noarch: A collection of functions that creates graphs with error bars for data collected from one-way or higher factorial designs

R-sandwich-2.3.0-4.lbn19.noarch: Model-robust standard error estimators for cross-sectional, time series and longitudinal data.

R-rtracklayer-1.32.2-1.lbn19.x86_64: Extensible framework for interacting with multiple genome browsers (currently UCSC built-in) and manipulating annotation tracks in various formats (currently GFF, BED, bedGraph, BED15, WIG, and BigWig built-in). The user may export/import tracks to/from the supported browsers, as well as query and modify the browser state, such as the current viewport.


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