Package Name | Access | Summary | Updated |
---|---|---|---|

numcosmo | public | NumCosmo is a free software C library whose main purposes are to test cosmological models using observational data and to provide a set of tools to perform cosmological calculations. | 2020-07-14 |

pytest | public | Simple and powerful testing with Python. | 2020-07-14 |

texinfo | public | The GNU Documentation System | 2020-07-14 |

flask-sqlalchemy | public | Adds SQLAlchemy support to your Flask application | 2020-07-14 |

r-compositions | public | Provides functions for the consistent analysis of compositional data (e.g. portions of substances) and positive numbers (e.g. concentrations) in the way proposed by J. Aitchison and V. Pawlowsky-Glahn. | 2020-07-14 |

conda-forge-pinning | public | The baseline versions of software for the conda-forge ecosystem | 2020-07-14 |

pyam | public | a Python package for integrated-assessment scenario analysis and visualization | 2020-07-14 |

r-spam | public | Set of functions for sparse matrix algebra. Differences with other sparse matrix packages are: (1) we only support (essentially) one sparse matrix format, (2) based on transparent and simple structure(s), (3) tailored for MCMC calculations within G(M)RF. (4) and it is fast and scalable (with the extension package spam64). Documentation about 'spam' is provided by vignettes included in this package, see also Furrer and Sain (2010) <doi:10.18637/jss.v036.i10>; see 'citation("spam")' for details. | 2020-07-14 |

r-raster | public | Reading, writing, manipulating, analyzing and modeling of gridded spatial data. The package implements basic and high-level functions. Processing of very large files is supported. There is a also support for vector data operations such as intersections. See the manual and tutorials on <https://rspatial.org/> to get started. | 2020-07-14 |

r-sf | public | Support for simple features, a standardized way to encode spatial vector data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations. | 2020-07-14 |

r-som | public | Self-Organizing Map (with application in gene clustering). | 2020-07-14 |

r-infer | public | The objective of this package is to perform inference using an expressive statistical grammar that coheres with the tidy design framework. | 2020-07-14 |

r-deldir | public | Calculates the Delaunay triangulation and the Dirichlet or Voronoi tessellation (with respect to the entire plane) of a planar point set. Plots triangulations and tessellations in various ways. Clips tessellations to sub-windows. Calculates perimeters of tessellations. Summarises information about the tiles of the tessellation. | 2020-07-14 |

google-auth | public | Google authentication library for Python | 2020-07-14 |

r-dotcall64 | public | An alternative version of .C() and .Fortran() supporting long vectors and 64-bit integer type arguments. The provided interface .C64() features mechanisms the avoid unnecessary copies of read-only or write-only arguments. This makes it a convenient and fast interface to C/C++ and Fortran code. | 2020-07-14 |

jupyter_client | public | jupyter_client contains the reference implementation of the Jupyter protocol. | 2020-07-14 |

kwant | public | Package for numerical quantum transport calculations. | 2020-07-14 |

r-ade4 | public | Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007) <doi:10.18637/jss.v022.i04>. | 2020-07-14 |

paste | public | Tools for using a Web Server Gateway Interface stack | 2020-07-14 |

typing | public | Type Hints for Python - backport for Python<3.5 | 2020-07-14 |

r-ucminf | public | An algorithm for general-purpose unconstrained non-linear optimization. The algorithm is of quasi-Newton type with BFGS updating of the inverse Hessian and soft line search with a trust region type monitoring of the input to the line search algorithm. The interface of 'ucminf' is designed for easy interchange with 'optim'. | 2020-07-14 |

r-network | public | Tools to create and modify network objects. The network class can represent a range of relational data types, and supports arbitrary vertex/edge/graph attributes. | 2020-07-14 |

r-tokenizers | public | Convert natural language text into tokens. Includes tokenizers for shingled n-grams, skip n-grams, words, word stems, sentences, paragraphs, characters, shingled characters, lines, tweets, Penn Treebank, regular expressions, as well as functions for counting characters, words, and sentences, and a function for splitting longer texts into separate documents, each with the same number of words. The tokenizers have a consistent interface, and the package is built on the 'stringi' and 'Rcpp' packages for fast yet correct tokenization in 'UTF-8'. | 2020-07-14 |

r-lhs | public | Provides a number of methods for creating and augmenting Latin Hypercube Samples. | 2020-07-14 |

django-extensions | public | Extensions for Django. | 2020-07-14 |

r-bbmisc | public | Miscellaneous helper functions for and from B. Bischl and some other guys, mainly for package development. | 2020-07-14 |

ncurses | public | Library for text-based user interfaces | 2020-07-14 |

r-tidymodels | public | The tidy modeling "verse" is a collection of packages for modeling and statistical analysis that share the underlying design philosophy, grammar, and data structures of the tidyverse. | 2020-07-14 |

eqcorrscan | public | Detection and analysis of repeating and near-repeating earthquakes | 2020-07-14 |

numba | public | NumPy aware dynamic Python compiler using LLVM | 2020-07-14 |

osmnet | public | Tools for the extraction of OpenStreetMap street network data for use in Pandana accessibility analyses. | 2020-07-14 |

pydda | public | Pythonic Direct Data Assimilation | 2020-07-13 |

diff-match-patch | public | Diff Match Patch is a high-performance library in multiple languages that manipulates plain text | 2020-07-13 |

m2crypto | public | M2Crypto: A Python crypto and SSL toolkit | 2020-07-13 |

terraform-provider-opsgenie | public | The Terraform OpsGenie provider | 2020-07-13 |

r-fda | public | These functions were developed to support functional data analysis as described in Ramsay, J. O. and Silverman, B. W. (2005) Functional Data Analysis. New York: Springer. They were ported from earlier versions in Matlab and S-PLUS. An introduction appears in Ramsay, J. O., Hooker, Giles, and Graves, Spencer (2009) Functional Data Analysis with R and Matlab (Springer). The package includes data sets and script files working many examples including all but one of the 76 figures in this latter book. Matlab versions of the code and sample analyses are no longer distributed through CRAN, as they were when the book was published. For those, ftp from <http://www.psych.mcgill.ca/misc/fda/downloads/FDAfuns/> There you find a set of .zip files containing the functions and sample analyses, as well as two .txt files giving instructions for installation and some additional information. The changes from Version 2.4.1 are fixes of bugs in density.fd and removal of functions create.polynomial.basis, polynompen, and polynomial. These were deleted because the monomial basis does the same thing and because there were errors in the code. | 2020-07-13 |

srtm.py | public | Python parser for the Shuttle Radar Topography Mission elevation data | 2020-07-13 |

clangdev | public | Development headers and libraries for Clang | 2020-07-13 |

genutil | public | General Utitilites for the Community Data Analysys Tools | 2020-07-13 |

r-pkgbuild | public | Provides functions used to build R packages. Locates compilers needed to build R packages on various platforms and ensures the PATH is configured appropriately so R can use them. | 2020-07-13 |

r-yardstick | public | Tidy tools for quantifying how well model fits to a data set such as confusion matrices, class probability curve summaries, and regression metrics (e.g., RMSE). | 2020-07-13 |

r-rlabkey | public | The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <http://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so. | 2020-07-13 |

spacy | public | Industrial-strength Natural Language Processing | 2020-07-13 |

stevedore | public | Manage dynamic plugins for Python applications | 2020-07-13 |

meson | public | The Meson Build System | 2020-07-13 |

islpy | public | Wrapper around isl, an integer set library | 2020-07-13 |

r-mice | public | Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations. | 2020-07-13 |

r-gamlss | public | Functions for fitting the Generalized Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005), <doi:10.1111/j.1467-9876.2005.00510.x>. The models use a distributional regression approach where all the parameters of the conditional distribution of the response variable are modelled using explanatory variables. | 2020-07-13 |

r-gamlss.dist | public | A set of distributions which can be used for modelling the response variables in Generalized Additive Models for Location Scale and Shape, Rigby and Stasinopoulos (2005), <doi:10.1111/j.1467-9876.2005.00510.x>. The distributions can be continuous, discrete or mixed distributions. Extra distributions can be created, by transforming, any continuous distribution defined on the real line, to a distribution defined on ranges 0 to infinity or 0 to 1, by using a ''log'' or a ''logit' transformation respectively. | 2020-07-13 |

xtl | public | The QuantStack tools library | 2020-07-13 |

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