Showing 22 of total 22 results (show query)
r-lib
covr:Test Coverage for Packages
Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <https://about.codecov.io> or 'Coveralls' <https://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.
Maintained by Jim Hester. Last updated 2 months ago.
codecovcoveragecoverage-reporttravis-ci
337 stars 15.25 score 2.3k scripts 9 dependents
projectmosaic
mosaic:Project MOSAIC Statistics and Mathematics Teaching Utilities
Data sets and utilities from Project MOSAIC (<http://www.mosaic-web.org>) used to teach mathematics, statistics, computation and modeling. Funded by the NSF, Project MOSAIC is a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all.
Maintained by Randall Pruim. Last updated 1 years ago.
93 stars 13.32 score 7.2k scripts 7 dependents
cvxgrp
CVXR:Disciplined Convex Optimization
An object-oriented modeling language for disciplined convex programming (DCP) as described in Fu, Narasimhan, and Boyd (2020, <doi:10.18637/jss.v094.i14>). It allows the user to formulate convex optimization problems in a natural way following mathematical convention and DCP rules. The system analyzes the problem, verifies its convexity, converts it into a canonical form, and hands it off to an appropriate solver to obtain the solution. Interfaces to solvers on CRAN and elsewhere are provided, both commercial and open source.
Maintained by Anqi Fu. Last updated 5 months ago.
207 stars 12.89 score 768 scripts 51 dependents
eddelbuettel
RProtoBuf:R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)
Protocol Buffers are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal 'RPC' protocols and file formats. Additional documentation is available in two included vignettes one of which corresponds to our 'JSS' paper (2016, <doi:10.18637/jss.v071.i02>. A sufficiently recent version of 'Protocol Buffers' library is required; currently version 3.3.0 from 2017 is the stated minimum.
Maintained by Dirk Eddelbuettel. Last updated 13 days ago.
c-plus-plusprotocol-buffersprotobufcpp
73 stars 11.44 score 126 scripts 21 dependents
kurthornik
tseries:Time Series Analysis and Computational Finance
Time series analysis and computational finance.
Maintained by Kurt Hornik. Last updated 6 months ago.
4 stars 11.29 score 10k scripts 289 dependents
crunch-io
crunch:Crunch.io Data Tools
The Crunch.io service <https://crunch.io/> provides a cloud-based data store and analytic engine, as well as an intuitive web interface. Using this package, analysts can interact with and manipulate Crunch datasets from within R. Importantly, this allows technical researchers to collaborate naturally with team members, managers, and clients who prefer a point-and-click interface.
Maintained by Greg Freedman Ellis. Last updated 8 days ago.
9 stars 10.47 score 200 scripts 2 dependents
bioc
AnnotationFilter:Facilities for Filtering Bioconductor Annotation Resources
This package provides class and other infrastructure to implement filters for manipulating Bioconductor annotation resources. The filters will be used by ensembldb, Organism.dplyr, and other packages.
Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.
annotationinfrastructuresoftwarebioconductor-packagecore-package
5 stars 10.19 score 45 scripts 160 dependents
dbosak01
fmtr:Easily Apply Formats to Data
Contains a set of functions that can be used to apply formats to data frames or vectors. The package aims to provide functionality similar to that of SAS® formats. Formats are assigned to the format attribute on data frame columns. Then when the fdata() function is called, a new data frame is created with the column data formatted as specified. The package also contains a value() function to create a user-defined format, similar to a SAS® user-defined format.
Maintained by David Bosak. Last updated 2 months ago.
fmtrformatformatsformattingcpp
12 stars 9.01 score 111 scripts 5 dependents
drizopoulos
JMbayes2:Extended Joint Models for Longitudinal and Time-to-Event Data
Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864).
Maintained by Dimitris Rizopoulos. Last updated 24 days ago.
competing-riskslongitudinal-analysismixed-modelsmulti-statepersonalized-medicineprecision-medicineprediction-modelsurvival-modelsopenblascppopenmp
84 stars 8.27 score 264 scripts 2 dependents
smac-group
simts:Time Series Analysis Tools
A system contains easy-to-use tools as a support for time series analysis courses. In particular, it incorporates a technique called Generalized Method of Wavelet Moments (GMWM) as well as its robust implementation for fast and robust parameter estimation of time series models which is described, for example, in Guerrier et al. (2013) <doi: 10.1080/01621459.2013.799920>. More details can also be found in the paper linked to via the URL below.
Maintained by Stéphane Guerrier. Last updated 2 years ago.
rcpprcpparmadillosimulationtime-seriestimeseriestimeseries-dataopenblascpp
15 stars 7.68 score 59 scripts 4 dependents
meireles
spectrolab:Class and Methods for Spectral Data
Input/Output, processing and visualization of spectra taken with different spectrometers, including SVC (Spectra Vista), ASD and PSR (Spectral Evolution). Implements an S3 class spectra that other packages can build on. Provides methods to access, plot, manipulate, splice sensor overlap, vector normalize and smooth spectra.
Maintained by Jose Eduardo Meireles. Last updated 3 months ago.
16 stars 7.39 score 256 scripts
gagolews
FuzzyNumbers:Tools to Deal with Fuzzy Numbers
S4 classes and methods to deal with fuzzy numbers. They allow for computing any arithmetic operations (e.g., by using the Zadeh extension principle), performing approximation of arbitrary fuzzy numbers by trapezoidal and piecewise linear ones, preparing plots for publications, computing possibility and necessity values for comparisons, etc.
Maintained by Marek Gagolewski. Last updated 3 years ago.
10 stars 7.37 score 91 scripts 17 dependentsbioc
struct:Statistics in R Using Class-based Templates
Defines and includes a set of class-based templates for developing and implementing data processing and analysis workflows, with a strong emphasis on statistics and machine learning. The templates can be used and where needed extended to 'wrap' tools and methods from other packages into a common standardised structure to allow for effective and fast integration. Model objects can be combined into sequences, and sequences nested in iterators using overloaded operators to simplify and improve readability of the code. Ontology lookup has been integrated and implemented to provide standardised definitions for methods, inputs and outputs wrapped using the class-based templates.
Maintained by Gavin Rhys Lloyd. Last updated 5 months ago.
5.91 score 76 scripts 3 dependents
soumyaray
result:Result Type for Safely Handling Operations that can Succeed or Fail
Allows wrapping values in success() and failure() types to capture the result of operations, along with any status codes. Risky expressions can be wrapped in as_result() and functions wrapped in result() to catch errors and assign the relevant result types. Monadic functions can be bound together as pipelines or transaction scripts using then_try(), to gracefully handle errors at any step.
Maintained by Soumya Ray. Last updated 1 years ago.
4 stars 5.14 score 692 scripts
bmoretz
dyn.log:Dynamic Logging for R Inspired by Configuration Driven Development
A comprehensive and dynamic configuration driven logging package for R. While there are several excellent logging solutions already in the R ecosystem, I always feel constrained in some way by each of them. Every project is designed differently to solve it's domain specific problem, and ultimately the utility of a logging solution is its ability to adapt to this design. This is the raison d'être for 'dyn.log': to provide a modular design, template mechanics and a configuration-based integration model, so that the logger can integrate deeply into your design, even though it knows nothing about it.
Maintained by Brandon Moretz. Last updated 3 years ago.
1 stars 4.78 score 10 scriptsbioc
rsbml:R support for SBML, using libsbml
Links R to libsbml for SBML parsing, validating output, provides an S4 SBML DOM, converts SBML to R graph objects. Optionally links to the SBML ODE Solver Library (SOSLib) for simulating models.
Maintained by Michael Lawrence. Last updated 1 months ago.
graphandnetworkpathwaysnetworklibsbmlcpp
4.71 score 19 scripts 1 dependents
mlverse
tfevents:Write Events for 'TensorBoard'
Provides a convenient way to log scalars, images, audio, and histograms in the 'tfevent' record file format. Logged data can be visualized on the fly using 'TensorBoard', a web based tool that focuses on visualizing the training progress of machine learning models.
Maintained by Daniel Falbel. Last updated 9 months ago.
10 stars 4.48 score 10 scripts
analythium
rconfig:Manage R Configuration at the Command Line
Configuration management using files (YAML, JSON, INI, TXT), JSON strings, and command line arguments. Command line arguments can be used to override configuration. Period-separated command line flags are parsed as hierarchical lists. Environment variables, R global variables, and configuration values can be substituted.
Maintained by Peter Solymos. Last updated 2 years ago.
26 stars 4.11 score 3 scripts
cran
verification:Weather Forecast Verification Utilities
Utilities for verifying discrete, continuous and probabilistic forecasts, and forecasts expressed as parametric distributions are included.
Maintained by Eric Gilleland. Last updated 4 months ago.
3 stars 3.99 score 6 dependents
ecor
blockmatrix:Tools to Solve Algebraic Systems with Partitioned Matrices
Some elementary matrix algebra tools are implemented to manage block matrices or partitioned matrix, i.e. "matrix of matrices" (http://en.wikipedia.org/wiki/Block_matrix). The block matrix is here defined as a new S3 object. In this package, some methods for "matrix" object are rewritten for "blockmatrix" object. New methods are implemented. This package was created to solve equation systems with block matrices for the analysis of environmental vector time series . Bugs/comments/questions/collaboration of any kind are warmly welcomed.
Maintained by Emanuele Cordano. Last updated 9 years ago.
3.82 score 22 scripts 2 dependentscran
discretization:Data Preprocessing, Discretization for Classification
A collection of supervised discretization algorithms. It can also be grouped in terms of top-down or bottom-up, implementing the discretization algorithms.
Maintained by HyunJi Kim. Last updated 3 years ago.
3 stars 2.80 score 5 dependentscran
salad:Simple Automatic Differentiation
Handles both vector and matrices, using a flexible S4 class for automatic differentiation. The method used is forward automatic differentiation. Many functions and methods have been defined, so that in most cases, functions written without automatic differentiation in mind can be used without change.
Maintained by Hervé Perdry. Last updated 3 months ago.
2.48 score