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

botocore | public | Low-level, data-driven core of boto 3. | 2019-08-20 |

hdmedians | public | High-dimensional medians | 2019-08-20 |

r-oceanview | public | Functions for transforming and viewing 2-D and 3-D (oceanographic) data and model output. | 2019-08-20 |

buildbot-pkg | public | Buildbot packaging tools | 2019-08-20 |

buildbot-grid-view | public | Buildbot Grid View plugin | 2019-08-20 |

r-qtlrel | public | This software provides tools for quantitative trait mapping in populations such as advanced intercross lines where relatedness among individuals should not be ignored. It can estimate background genetic variance components, impute missing genotypes, simulate genotypes, perform a genome scan for putative quantitative trait loci (QTL), and plot mapping results. It also has functions to calculate identity coefficients from pedigrees, especially suitable for pedigrees that consist of a large number of generations, or estimate identity coefficients from genotypic data in certain circumstances. | 2019-08-20 |

r-pamr | public | Some functions for sample classification in microarrays. | 2019-08-20 |

r-signal | public | A set of signal processing functions originally written for 'Matlab' and 'Octave'. Includes filter generation utilities, filtering functions, resampling routines, and visualization of filter models. It also includes interpolation functions. | 2019-08-20 |

r-rmr2 | public | No Summary | 2019-08-20 |

r-pmcmrplus | public | For one-way layout experiments the one-way ANOVA can be performed as an omnibus test. All-pairs multiple comparisons tests (Tukey-Kramer test, Scheffe test, LSD-test) and many-to-one tests (Dunnett test) for normally distributed residuals and equal within variance are available. Furthermore, all-pairs tests (Games-Howell test, Tamhane's T2 test, Dunnett T3 test, Ury-Wiggins-Hochberg test) and many-to-one (Tamhane-Dunnett Test) for normally distributed residuals and heterogeneous variances are provided. Van der Waerden's normal scores test for omnibus, all-pairs and many-to-one tests is provided for non-normally distributed residuals and homogeneous variances. The Kruskal-Wallis, BWS and Anderson-Darling omnibus test and all-pairs tests (Nemenyi test, Dunn test, Conover test, Dwass-Steele-Critchlow- Fligner test) as well as many-to-one (Nemenyi test, Dunn test, U-test) are given for the analysis of variance by ranks. Non-parametric trend tests (Jonckheere test, Cuzick test, Johnson-Mehrotra test, Spearman test) are included. In addition, a Friedman-test for one-way ANOVA with repeated measures on ranks (CRBD) and Skillings-Mack test for unbalanced CRBD is provided with consequent all-pairs tests (Nemenyi test, Siegel test, Miller test, Conover test, Exact test) and many-to-one tests (Nemenyi test, Demsar test, Exact test). A trend can be tested with Pages's test. Durbin's test for a two-way balanced incomplete block design (BIBD) is given in this package as well as Gore's test for CRBD with multiple observations per cell is given. Outlier tests, Mandel's k- and h statistic as well as functions for Type I error and Power analysis as well as generic summary, print and plot methods are provided. | 2019-08-20 |

tesseract | public | An optical character recognition (OCR) engine | 2019-08-20 |

podaacpy | public | A python utility library for interacting with NASA JPLs PO.DAAC | 2019-08-20 |

xgboost | public | Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow | 2019-08-20 |

py-xgboost-cpu | public | Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow | 2019-08-20 |

py-xgboost | public | Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow | 2019-08-20 |

r-xgboost-cpu | public | 2019-08-20 | |

r-xgboost | public | 2019-08-20 | |

libxgboost | public | 2019-08-20 | |

dbf | public | Pure python package for reading/writing dBase, FoxPro, and Visual FoxPro .dbf files (including memos) | 2019-08-20 |

pytesseract | public | Python-tesseract is an optical character recognition (OCR) tool for python. | 2019-08-20 |

jupyterlab | public | An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. | 2019-08-20 |

r-subselect | public | A collection of functions which (i) assess the quality of variable subsets as surrogates for a full data set, in either an exploratory data analysis or in the context of a multivariate linear model, and (ii) search for subsets which are optimal under various criteria. | 2019-08-20 |

r-softimpute | public | Iterative methods for matrix completion that use nuclear-norm regularization. There are two main approaches.The one approach uses iterative soft-thresholded svds to impute the missing values. The second approach uses alternating least squares. Both have an "EM" flavor, in that at each iteration the matrix is completed with the current estimate. For large matrices there is a special sparse-matrix class named "Incomplete" that efficiently handles all computations. The package includes procedures for centering and scaling rows, columns or both, and for computing low-rank SVDs on large sparse centered matrices (i.e. principal components) | 2019-08-20 |

r-subplex | public | The subplex algorithm for unconstrained optimization, developed by Tom Rowan <http://www.netlib.org/opt/subplex.tgz>. | 2019-08-20 |

pygram11 | public | Simple and fast histogramming in Python via pybind11 and OpenMP | 2019-08-20 |

px-proxy | public | An HTTP proxy server to automatically authenticate through an NTLM proxy | 2019-08-20 |

r-timsac | public | Functions for statistical analysis, prediction and control of time series based mainly on Akaike and Nakagawa (1988) <ISBN 978-90-277-2786-2>. | 2019-08-20 |

julia | public | A high-performance dynamic programming language for data science | 2019-08-20 |

r-tmvtnorm | public | Random number generation for the truncated multivariate normal and Student t distribution. Computes probabilities, quantiles and densities, including one-dimensional and bivariate marginal densities. Computes first and second moments (i.e. mean and covariance matrix) for the double-truncated multinormal case. | 2019-08-20 |

r-tree | public | Classification and regression trees. | 2019-08-20 |

monty | public | Monty is the missing complement to Python. | 2019-08-20 |

jupyterlab_server | public | A set of server components for JupyterLab and JupyterLab like applications. | 2019-08-20 |

pyferret | public | An Analysis Tool for Gridded and Non-Gridded Data. | 2019-08-20 |

r-bootstrap | public | Software (bootstrap, cross-validation, jackknife) and data for the book "An Introduction to the Bootstrap" by B. Efron and R. Tibshirani, 1993, Chapman and Hall. This package is primarily provided for projects already based on it, and for support of the book. New projects should preferentially use the recommended package "boot". | 2019-08-20 |

r-bma | public | Package for Bayesian model averaging and variable selection for linear models, generalized linear models and survival models (cox regression). | 2019-08-20 |

faker | public | Faker is a Python package that generates fake data for you | 2019-08-20 |

ncl | public | NCAR Command Language | 2019-08-20 |

lightkurve | public | A friendly package for Kepler & TESS time series analysis in Python. | 2019-08-20 |

r-geigen | public | Functions to compute generalized eigenvalues and eigenvectors, the generalized Schur decomposition and the generalized Singular Value Decomposition of a matrix pair, using Lapack routines. | 2019-08-20 |

r-hdrcde | public | Computation of highest density regions in one and two dimensions, kernel estimation of univariate density functions conditional on one covariate, and multimodal regression. | 2019-08-20 |

r-fd | public | FD is a package to compute different multidimensional FD indices. It implements a distance-based framework to measure FD that allows any number and type of functional traits, and can also consider species relative abundances. It also contains other useful tools for functional ecology. | 2019-08-20 |

r-gglasso | public | A unified algorithm, blockwise-majorization-descent (BMD), for efficiently computing the solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared SVM. The package is an implementation of Yang, Y. and Zou, H. (2015) DOI: <doi:10.1007/s11222-014-9498-5>. | 2019-08-20 |

r-cairodevice | public | This device uses Cairo and GTK to draw to the screen, file (png, svg, pdf, and ps) or memory (arbitrary GdkDrawable or Cairo context). The screen device may be embedded into RGtk2 interfaces and supports all interactive features of other graphics devices, including getGraphicsEvent(). | 2019-08-20 |

ibm_db | public | Python DBI driver for DB2 (LUW, zOS, i5) and IDS | 2019-08-20 |

r-limsolve | public | Functions that (1) find the minimum/maximum of a linear or quadratic function: min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(a_i*x_i) subject to equality constraints Ex=f and/or inequality constraints Gx>=h, (2) sample an underdetermined- or overdetermined system Ex=f subject to Gx>=h, and if applicable Ax~=b, (3) solve a linear system Ax=B for the unknown x. It includes banded and tridiagonal linear systems. The package calls Fortran functions from 'LINPACK'. | 2019-08-20 |

r-mda | public | Mixture and flexible discriminant analysis, multivariate adaptive regression splines (MARS), BRUTO, ... | 2019-08-20 |

mkl-service | public | Python hooks for Intel(R) Math Kernel Library runtime control settings. | 2019-08-20 |

r-minpack.lm | public | The nls.lm function provides an R interface to lmder and lmdif from the MINPACK library, for solving nonlinear least-squares problems by a modification of the Levenberg-Marquardt algorithm, with support for lower and upper parameter bounds. The implementation can be used via nls-like calls using the nlsLM function. | 2019-08-20 |

r-polylabelr | public | A wrapper around the C++ library 'polylabel' from 'Mapbox', providing an efficient routine for finding the approximate pole of inaccessibility of a polygon, which usually serves as an excellent candidate for labeling of a polygon. | 2019-08-20 |

turbodbc | public | access relational databases via the Open Database Connectivity (ODBC) interface | 2019-08-20 |

Gallery

About

Documentation

Support

About Anaconda, Inc.

Download Anaconda