py-fpconst | | IEEE 754 floating point special handling for Python |
py-gmpy | | Python library for arbitrary precision arithmetic |
py-infinity | | All-in-one infinity value for Python |
py-intervals | | Tools for handling intervals (ranges of comparable objects) |
py-kiwisolver | | Fast implementation of the Cassowary constraint solver |
py-lmfit | | Least-squares minimization with bounds and constraints |
py-mpmath | | Python library for arbitrary-precision FP arithmetic |
py-munkres | | Munkres algorithm for the Assignment Problem |
py-networkx | | Python package for creating and manipulating graphs and networks |
py-noise | | Perlin noise for Python |
py-numarray | | Array manipulation |
py-numba | | NumPy aware dynamic Python compiler using LLVM |
py-Numeric | | Adds multidimensional numeric arrays to Python |
py-numexpr | | Numerical expression evaluator for NumPy |
py-numpy | | Array processing for numbers, strings, records, and objects |
py-numpydoc (V) | | Sphinx extension to support docstrings in Numpy format |
py-pandas | | Python Data Analysis Library |
py-pandas-datareader | | Remote data access for pandas |
py-patsy | | Python package for describing statistical models |
py-powerlaw | | Toolbox for analysis of heavy-tailed distributions |
py-pymc3 | | Bayesian modeling and probabilistic machine learning |
py-pywavelets | | Discrete Wavelet Transforms in Python |
py-quadprog | | Solver for a strictly convex quadratic program |
py-roman | | Integer to Roman numerals converter for Python |
py-rpy | | R interface for Python |
py-Scientific | | Python modules for scientific computing |
py-Scientific-doc | | Python modules for scientific computing |
py-scikit-image | | Image processing routines for SciPy |
py-scikit-learn | | Machine learning algorithms for Python |
py-scipy | | Scientific Algorithms Library for Python |
py-simpleeval | | Simple, safe single expression evaluator library |
py-simpy (V) | | Discrete event simulation framework |
py-statsmodels | | Statistical computations and models for use with SciPy |
py-sympy | | Python library for symbolic mathematics |
py-tables | | Database package for large amounts of data |
py-tensorboard | | Web applications for inspecting TensorFlow runs and graphs |
py-Theano | | Optimizing compiler for evaluating mathematical expressions |
py-z3 | | Python bindings for the Z3 theorem prover / SMT solver |
py-z3solver | | Theorem prover from Microsoft Research |
qalculate | | Modern multi-purpose desktop calculator (console version) |
qalculate-bases | | Utility for conversion between number bases using Qalculate |
qalculate-currency | | Utility for conversion between currencies using Qalculate |
qalculate-gtk | | Modern multi-purpose desktop calculator (GNOME version) |
qalculate-units | | Utility for conversion between units using Qalculate |
qhull | | Computing the convex hull |
quadpack | | Fortran subroutines for the solution of definite univariate integrals |
R | | Statistical language for data analysis and graphics |
R-abind | | Combine multi-dimensional arrays |
R-akima | | Linear or cubic spline interpolation for irregular gridded data |
R-aplpack | | Functions for drawing special plots |
R-bbmle | | Tools for general maximum likelihood estimation |
R-bitops | | Functions for Bitwise operations on integer vectors |
R-car | | Accompanies An R Companion to Applied Regression, 2nd Edition |
R-carData | | Companion to Applied Regression Data Sets |
R-CGIwithR | | Facilities for the use of R to write CGI scripts |
R-chron | | Chronological objects which can handle dates and times |
R-circular | | Circular Statistics, from Topics in circular Statistics |
R-classInt | | Package for choosing univariate class intervals for graphics |
R-clim.pact | | Climate analysis and downscaling for monthly and daily data |
R-coda | | Output analysis and diagnostics for MCMC |
R-combinat | | Routines for combinatorics |
R-DAAG | | Data Analysis And Graphics data and functions |
R-date | | Functions for Handling Dates |
R-DBI | | R Database Interface |
R-e1071 | | Misc Functions of the Department of Statistics (e1071), TU Wien |
R-emdbook | | Support functions and data for Ecological Models and Data |
R-FNN | | Fast Nearest Neighbor Search Algorithms and Applications |
R-forecast | | Forecasting functions for time series and linear models |
R-fracdiff | | Fractionally differenced ARIMA aka ARFIMA(p,d,q) models |
R-gdata | | Various R programming tools for data manipulation |
R-genetics | | Classes and methods for handling genetic data |
R-geoR | | Geostatistical analysis including likelihood-based & Bayesian methods |
R-geoRglm | | Generalised linear spatial models in R |
R-GRASS | | Interface between GRASS 5.0 geographical information system and R |
R-gss | | General smoothing splines |
R-gstat | | Uni/multivariable geostatistical modelling, prediction and simulation |
R-gtable | | Arrage 'grobs' in tables |
R-gtools | | Various R programming tools |
R-httpRequest | | Implements the GET, POST and multipart POST request |
R-hwde | | Models and tests for departure from Hardy-Weinberg equilibrium |
R-igraph | | Network Analysis and Visualization |
R-intervals | | Tools for working with points and intervals |
R-ISLR | | Data for the ISLR book |
R-ISwR | | Data sets and scripts for 'Introductory Statistics with R' |
R-lme4 | | Linear mixed-effects models using Eigen and S4 |
R-lmm | | Improved procedures for linear mixed models with R |
R-lmtest | | Testing linear regression models |
R-mapproj | | Converts latitude/longitude into projected coordinates |
R-maps | | Display maps in R |
R-MatrixModels | | Modelling with Sparse And Dense Matrices |
R-minqa | | Derivative-free optimization algorithms by quadratic approximation |
R-moonsun | | Basic astronomical calculations with R |
R-mvtnorm | | Computes the multivariate normal and t distribution |
R-ncdf | | High-level R interface to Unidata's netCDF data files |
R-nloptr | | R interface to NLopt |
R-numDeriv | | Accurate numerical derivatives |
R-pbkrtest | | Parametric bootstrap and Kenward-Roger-based methods |
R-PHYLOGR | | Manipulation of phylogenetically simulated data sets using GLS |
R-pixmap | | Functions for manipulations of bitmaps with R |
R-plyr | | Tools for splitting, applying and combining data |