conda-forge / packages

Package Name Access Summary Updated
r-mpmi public Uses a kernel smoothing approach to calculate Mutual Information for comparisons between all types of variables including continuous vs continuous, continuous vs discrete and discrete vs discrete. Uses a nonparametric bias correction giving Bias Corrected Mutual Information (BCMI). Implemented efficiently in Fortran 95 with OpenMP and suited to large genomic datasets. 2019-04-22
r-genetics public Classes and methods for handling genetic data. Includes classes to represent genotypes and haplotypes at single markers up to multiple markers on multiple chromosomes. Function include allele frequencies, flagging homo/heterozygotes, flagging carriers of certain alleles, estimating and testing for Hardy-Weinberg disequilibrium, estimating and testing for linkage disequilibrium, ... 2019-04-22
jsonextended public Extending the python json package functionality 2019-04-22
r-fields public For curve, surface and function fitting with an emphasis on splines, spatial data and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details as a companion to the manual pages. The commented source code can be viewed by expanding source code version and looking in the R subdirectory. The reference for fields can be generated by the citation function in R and has DOI <doi:10.5065/D6W957CT>. 2019-04-22
r-copula public Classes (S4) of commonly used elliptical, Archimedean, extreme value and some more copula families. Methods for density, distribution, random number generation, bivariate dependence measures, perspective and contour plots. Fitting copula models including variance estimates. 2019-04-22
camelot-py public PDF Table Extraction for Humans. 2019-04-22
r-jmv public A suite of common statistical methods such as descriptives, t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, and factor analysis. This package is also useable from the 'jamovi' statistical spreadsheet (see <https://www.jamovi.org> for more information). 2019-04-22
r-diagrammer public Build graph/network structures using functions for stepwise addition and deletion of nodes and edges. Work with data available in tables for bulk addition of nodes, edges, and associated metadata. Use graph selections and traversals to apply changes to specific nodes or edges. A wide selection of graph algorithms allow for the analysis of graphs. Visualize the graphs and take advantage of any aesthetic properties assigned to nodes and edges. 2019-04-22
r-igraph public Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more. 2019-04-22
r-infer public The objective of this package is to perform inference using an expressive statistical grammar that coheres with the tidy design framework. 2019-04-22
rioxarray public rasterio xarray extension. 2019-04-22
cms-md5 public Independent implementation of MD5 (RFC 1321). 2019-04-22
python-clang public Python bindings for clang 2019-04-22
r-rfpermute public Estimate significance of importance metrics for a Random Forest model by permuting the response variable. Produces null distribution of importance metrics for each predictor variable and p-value of observed. Provides summary and visualization functions for 'randomForest' results. 2019-04-22
cppzmq public C++ bindings for 0MQ 2019-04-22
xeus-cling public Cling-based C++ kernel for Jupyter based on xeus 2019-04-22
xeus-python public Jupyter kernel for the Python programming language based on xeus 2019-04-22
django-simple-history public Store model history and view/revert changes from admin site. 2019-04-22
pymeasure public Scientific measurement library for instruments, experiments, and live-plotting. 2019-04-21
ruamel.yaml public A YAML package for Python. It is a derivative of Kirill Simonov's PyYAML 3.11 which supports YAML1.1 2019-04-21
r-emmeans public Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and compact letter displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>. 2019-04-21
r-splitstackshape public Online data collection tools like Google Forms often export multiple-response questions with data concatenated in cells. The concat.split (cSplit) family of functions splits such data into separate cells. The package also includes functions to stack groups of columns and to reshape wide data, even when the data are "unbalanced"---something which reshape (from base R) does not handle, and which melt and dcast from reshape2 do not easily handle. 2019-04-21
numpydoc public Numpy's Sphinx extensions 2019-04-21
grpcio-gcp public gRPC extensions for Google Cloud Platform 2019-04-21
flask-appbuilder public Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. 2019-04-21
r-randtoolbox public Provides (1) pseudo random generators - general linear congruential generators, multiple recursive generators and generalized feedback shift register (SF-Mersenne Twister algorithm and WELL generators); (2) quasi random generators - the Torus algorithm, the Sobol sequence, the Halton sequence (including the Van der Corput sequence) and (3) some generator tests - the gap test, the serial test, the poker test. See e.g. Gentle (2003) <doi:10.1007/b97336>. The package can be provided without the rngWELL dependency on demand. Take a look at the Distribution task view of types and tests of random number generators. Version in Memoriam of Diethelm and Barbara Wuertz. 2019-04-21
brial public Brial - successor to PolyBoRi 2019-04-21
libbrial public Brial - successor to PolyBoRi 2019-04-21
django-recaptcha public Django recaptcha form field/widget app. 2019-04-21
smart_open public Python library for efficient streaming of large files 2019-04-21
metview public ECMWF Metview Copyright 2007-2019 ECMWF. 2019-04-21
tinyxml2 public TinyXML2 is a simple, small, efficient, C++ XML parser that can be easily integrated into other programs. 2019-04-21
fenics public FEniCS is a collection of free software for automated, efficient solution of differential equations 2019-04-21
petsc public PETSc: Portable, Extensible Toolkit for Scientific Computation 2019-04-21
poppler public The Poppler PDF manipulation library. 2019-04-21
autoflake public Removes unused imports and unused variables 2019-04-21
marshmallow-enum public Enum handling for Marshmallow 2019-04-21
pyfakefs public A fake file system that mocks the Python file system modules. 2019-04-21
mercurial-app public Source control management tool 2019-04-21
hepmc2 public HepMC - a C++ Event Record for Monte Carlo Generators 2019-04-21
gwsumm public A python toolbox for Advanced LIGO detector characterisation 2019-04-21
nestle public Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence. 2019-04-21
prison public Python rison encoder/decoder 2019-04-21
r-janitor public The main janitor functions can: perfectly format data.frame column names; provide quick counts of variable combinations (i.e., frequency tables and crosstabs); and isolate duplicate records. Other janitor functions nicely format the tabulation results. These tabulate-and-report functions approximate popular features of SPSS and Microsoft Excel. This package follows the principles of the "tidyverse" and works well with the pipe function %>%. janitor was built with beginning-to-intermediate R users in mind and is optimized for user-friendliness. Advanced R users can already do everything covered here, but with janitor they can do it faster and save their thinking for the fun stuff. 2019-04-21
vigra public Generic Programming for Computer Vision 2019-04-20
imagemagick public Software suite to create, edit, compose, or convert bitmap images. 2019-04-20
r-hdf5r public HDF5 is a data model, library and file format for storing and managing large amounts of data. This package provides a nearly feature complete, object oriented wrapper for the HDF5 API 2019-04-20
xlsxwriter public A Python module for creating Excel XLSX files 2019-04-20
r-corrr public A tool for exploring correlations. It makes it possible to easily perform routine tasks when exploring correlation matrices such as ignoring the diagonal, focusing on the correlations of certain variables against others, or rearranging and visualising the matrix in terms of the strength of the correlations. 2019-04-20
python-symengine public Python wrappers for SymEngine, a fast symbolic manipulation library, written in C++ 2019-04-20
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