conda-forge / packages

Package Name Access Summary Updated
r-vegan public Ordination methods, diversity analysis and other functions for community and vegetation ecologists. 2020-02-29
r-spatstat public Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 2000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported. Parametric models can be fitted to point pattern data using the functions ppm(), kppm(), slrm(), dppm() similar to glm(). Types of models include Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and determinantal point processes. Models may involve dependence on covariates, inter-point interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. A model can be fitted to a list of point patterns (replicated point pattern data) using the function mppm(). The model can include random effects and fixed effects depending on the experimental design, in addition to all the features listed above. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()) and variable selection (sdr). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots. 2020-02-29
r-sp public Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc. 2020-02-29
fslpy public The FSL Python library 2020-02-29
r-mgcv public Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Generalized Cross Validation and similar, or using iterated nested Laplace approximation for fully Bayesian inference. See Wood (2017) <doi:10.1201/9781315370279> for an overview. Includes a gam() function, a wide variety of smoothers, 'JAGS' support and distributions beyond the exponential family. 2020-02-29
r-brms public Fit Bayesian generalized (non-)linear multivariate multilevel models using 'Stan' for full Bayesian inference. A wide range of distributions and link functions are supported, allowing users to fit -- among others -- linear, robust linear, count data, survival, response times, ordinal, zero-inflated, hurdle, and even self-defined mixture models all in a multilevel context. Further modeling options include non-linear and smooth terms, auto-correlation structures, censored data, meta-analytic standard errors, and quite a few more. In addition, all parameters of the response distribution can be predicted in order to perform distributional regression. Prior specifications are flexible and explicitly encourage users to apply prior distributions that actually reflect their beliefs. Model fit can easily be assessed and compared with posterior predictive checks and leave-one-out cross-validation. References: Bürkner (2017) <doi:10.18637/jss.v080.i01>; Bürkner (2018) <doi:10.32614/RJ-2018-017>; Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>. 2020-02-29
r-gss public A comprehensive package for structural multivariate function estimation using smoothing splines. 2020-02-29
r-dendextend public Offers a set of functions for extending 'dendrogram' objects in R, letting you visualize and compare trees of 'hierarchical clusterings'. You can (1) Adjust a tree's graphical parameters - the color, size, type, etc of its branches, nodes and labels. (2) Visually and statistically compare different 'dendrograms' to one another. 2020-02-29
r-plm public A set of estimators and tests for panel data econometrics, as described in Baltagi (2013) Econometric Analysis of Panel Data, ISBN-13:978-1-118-67232-7, Hsiao (2014) Analysis of Panel Data <doi:10.1017/CBO9781139839327> and Croissant and Millo (2018), Panel Data Econometrics with R, ISBN:978-1-118-94918-4. 2020-02-29
sncosmo public Python library for supernova cosmology 2020-02-29
signac public Manage large and heterogeneous data spaces on the file system. 2020-02-29
python-box public Python dictionaries with recursive dot notation access 2020-02-29
zict public Composable Dictionary Classes 2020-02-29
rx public Reactive Extensions (Rx) for Python 2020-02-29
awscli public Universal Command Line Environment for AWS. 2020-02-29
boto3 public Amazon Web Services SDK for Python 2020-02-29
botocore public Low-level, data-driven core of boto 3. 2020-02-28
asdf public Python tools to handle ASDF files 2020-02-28
python public General purpose programming language 2020-02-28
ipympl public Matplotlib Jupyter Extension 2020-02-28
xeus public C++ implementation of the Jupyter Kernel protocol 2020-02-28
erlang public A programming language used to build massively scalable soft real-time systems with requirements on high availability. 2020-02-28
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. 2020-02-28
r-groupedstats public Collection of functions to run statistical tests across all combinations of multiple grouping variables. 2020-02-28
r-cli public A suite of tools designed to build attractive command line interfaces ('CLIs'). Includes tools for drawing rules, boxes, trees, and 'Unicode' symbols with 'ASCII' alternatives. 2020-02-28
r-kernsmooth public Functions for kernel smoothing (and density estimation) corresponding to the book: Wand, M.P. and Jones, M.C. (1995) "Kernel Smoothing". 2020-02-28
r-quadprog public This package contains routines and documentation for solving quadratic programming problems. 2020-02-28
pimsviewer public A graphical user interface (GUI) for PIMS 2020-02-28
r-mclust public Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference. 2020-02-28
xapian-core public Xapian is an Open Source Search Engine Library, written in C++. 2020-02-28
r-ddpcr public An interface to explore, analyze, and visualize droplet digital PCR (ddPCR) data in R. This is the first non-proprietary software for analyzing two-channel ddPCR data. An interactive tool was also created and is available online to facilitate this analysis for anyone who is not comfortable with using R. 2020-02-28
webargs public A friendly library for parsing HTTP request arguments, with built-in support for popular web frameworks 2020-02-28
freud public Powerful, efficient particle trajectory analysis in scientific Python. 2020-02-28
dash-core-components public Dash UI core component suite 2020-02-28
r-irlba public Fast and memory efficient methods for truncated singular and eigenvalue decompositions and principal component analysis of large sparse or dense matrices. 2020-02-27
r-rtsne public An R wrapper around the fast T-distributed Stochastic Neighbor Embedding implementation by Van der Maaten (see <> for more information on the original implementation). 2020-02-27
gsd public General simulation data 2020-02-27
fastavro public Fast read/write of AVRO files 2020-02-27
ptvsd public Python debugger package for use with Visual Studio and Visual Studio Code 2020-02-27
libsemigroups public C++ library for semigroups and monoids 2020-02-27
python-socketio public Socket.IO server 2020-02-27
r-rcppannoy public 'Annoy' is a small C++ library for Approximate Nearest Neighbors written for efficient memory usage as well an ability to load from / save to disk. This package provides an R interface by relying on the 'Rcpp' package, exposing the same interface as the original Python wrapper to 'Annoy'. See <> for more on 'Annoy'. 'Annoy' is released under Version 2.0 of the Apache License. Also included is a small Windows port of 'mmap' which is released under the MIT license. 2020-02-27
otpod public A module to build Probability of Detection for Non Destructive Testing 2020-02-27
fresnel public Path tracing for soft matter simulations. 2020-02-27
r-matrix public A rich hierarchy of matrix classes, including triangular, symmetric, and diagonal matrices, both dense and sparse and with pattern, logical and numeric entries. Numerous methods for and operations on these matrices, using 'LAPACK' and 'SuiteSparse' libraries. 2020-02-27
pykep public pykep is a scientific library providing basic tools for interplanetary trajectory design. 2020-02-27
mpl-scatter-density public Matplotlib helpers to make density scatter plots 2020-02-27
root public ROOT is a modular scientific software toolkit. It provides all the functionalities needed to deal with big data processing, statistical analysis, visualisation and storage. It is mainly written in C++ but integrated with other languages such as Python and R. 2020-02-27
phonopy public Phonopy is an open source package for phonon calculations at harmonic and quasi-harmonic levels. 2020-02-27
cryptopp public A C++ Class Library of Cryptographic Schemes 2020-02-27
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