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

r-missmda | public | Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA or MCA. | 2019-07-20 |

r-mqtl | public | mQTL provides a complete QTL analysis pipeline for metabolomic data. Distinctive features include normalisation using PQN approach, peak alignment using RSPA approach, dimensionality reduction using SRV approach and finally QTL mapping using R/qtl package. | 2019-07-20 |

r-mockery | public | The two main functionalities of this package are creating mock objects (functions) and selectively intercepting calls to a given function that originate in some other function. It can be used with any testing framework available for R. Mock objects can be injected with either this package's own stub() function or a similar with_mock() facility present in the testthat package. | 2019-07-20 |

r-mosaicdata | public | Data sets from Project MOSAIC (<http://mosaic-web.org>) used to teach mathematics, statistics, computation and modeling. Funded by the NSF, Project MOSAIC is a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all. | 2019-07-20 |

r-mlmrev | public | Data and examples from a multilevel modelling software review as well as other well-known data sets from the multilevel modelling literature. | 2019-07-20 |

r-mpm | public | Exploratory graphical analysis of multivariate data, specifically gene expression data with different projection methods: principal component analysis, correspondence analysis, spectral map analysis. | 2019-07-20 |

r-moments | public | Functions to calculate: moments, Pearson's kurtosis, Geary's kurtosis and skewness; tests related to them (Anscombe-Glynn, D'Agostino, Bonett-Seier). | 2019-07-20 |

r-mlgt | public | Processing and analysis of high throughput (Roche 454) sequences generated from multiple loci and multiple biological samples. Sequences are assigned to their locus and sample of origin, aligned and trimmed. Where possible, genotypes are called and variants mapped to known alleles. | 2019-07-20 |

gdal | public | GDAL is a translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. | 2019-07-20 |

libgdal | public | The Geospatial Data Abstraction Library (GDAL) | 2019-07-20 |

monty | public | Monty is the missing complement to Python. | 2019-07-20 |

r-recordlinkage | public | Provides functions for linking and de-duplicating data sets. Methods based on a stochastic approach are implemented as well as classification algorithms from the machine learning domain. | 2019-07-20 |

boost-cpp | public | Free peer-reviewed portable C++ source libraries. | 2019-07-20 |

r-nycflights13 | public | Airline on-time data for all flights departing NYC in 2013. Also includes useful 'metadata' on airlines, airports, weather, and planes. | 2019-07-20 |

r-nls2 | public | Adds brute force and multiple starting values to nls. | 2019-07-20 |

r-mustat | public | Performs Wilcox rank sum test, Kruskal rank sum test, Friedman rank sum test and McNemar test. | 2019-07-20 |

postgresql-plpython | public | The plpythonu postgresql extension | 2019-07-20 |

postgresql | public | PostgreSQL is a powerful, open source object-relational database system. | 2019-07-20 |

azure-mgmt-compute | public | Microsoft Azure Client Libraries for Python | 2019-07-20 |

libpq | public | The postgres runtime libraries and utilities (not the server itself) | 2019-07-20 |

azure-mgmt-network | public | Microsoft Azure Network Resource Management Client Library for Python | 2019-07-20 |

azure-mgmt-resource | public | Microsoft Azure Resource Management Client Library for Python | 2019-07-20 |

python-tlsh | public | TLSH is a fuzzy matching library. | 2019-07-20 |

tlsh-tools | public | TLSH is a fuzzy matching library. | 2019-07-20 |

libtlsh | public | TLSH is a fuzzy matching library. | 2019-07-20 |

r-multitaper | public | Implements multitaper spectral analysis using discrete prolate spheroidal sequences (Slepians) and sine tapers. It includes an adaptive weighted multitaper spectral estimate, a coherence estimate, Thomson's Harmonic F-test, and complex demodulation. The Slepians sequences are generated efficiently using a tridiagonal matrix solution, and jackknifed confidence intervals are available for most estimates. | 2019-07-20 |

r-netrankr | public | Implements methods for centrality related analyses of networks. While the package includes the possibility to build more than 20 indices, its main focus lies on index-free assessment of centrality via partial rankings obtained by neighborhood-inclusion or positional dominance. These partial rankings can be analyzed with different methods, including probabilistic methods like computing expected node ranks and relative rank probabilities (how likely is it that a node is more central than another?). The methodology is described in depth in the vignettes and in Schoch (2018) <doi:10.1016/j.socnet.2017.12.003>. | 2019-07-20 |

r-nhmmfdr | public | The NHMMfdr package implements the non-homogeneous Hidden Markov Model based FDR control as described in Kuan et al., 2011 for multiple comparison adjustment under dependence. It allows for prior information to be incorporated in the model to improve detection of significant tests. | 2019-07-20 |

r-norm | public | Analysis of multivariate normal datasets with missing values | 2019-07-20 |

traitsui | public | TraitsUI - Traits-capable windowing framework | 2019-07-20 |

rq | public | RQ is a simple, lightweight, library for creating background jobs, and processing them. | 2019-07-20 |

r-multipanelfigure | public | Tools to create a layout for figures made of multiple panels, and to fill the panels with base, 'lattice', 'ggplot2' and 'ComplexHeatmap' plots, grobs, as well as content from all image formats supported by 'ImageMagick' (accessed through 'magick'). | 2019-07-20 |

r-multiway | public | Fits multi-way component models via alternating least squares algorithms with optional constraints. Fit models include N-way Canonical Polyadic Decomposition, Individual Differences Scaling, Multiway Covariates Regression, Parallel Factor Analysis (1 and 2), Simultaneous Component Analysis, and Tucker Factor Analysis. | 2019-07-20 |

r-multiroc | public | Tools to solve real-world problems with multiple classes classifications by computing the areas under ROC and PR curve via micro-averaging and macro-averaging. The vignettes of this package can be found via <https://github.com/WandeRum/multiROC>. The methodology is described in V. Van Asch (2013) <https://www.clips.uantwerpen.be/~vincent/pdf/microaverage.pdf> and Pedregosa et al. (2011) <http://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html>. | 2019-07-20 |

r-naniar | public | Missing values are ubiquitous in data and need to be explored and handled in the initial stages of analysis. 'naniar' provides data structures and functions that facilitate the plotting of missing values and examination of imputations. This allows missing data dependencies to be explored with minimal deviation from the common work patterns of 'ggplot2' and tidy data. | 2019-07-20 |

r-mvoutlier | public | Various Methods for Multivariate Outlier Detection. | 2019-07-20 |

r-mumin | public | Tools for performing model selection and model averaging. Automated model selection through subsetting the maximum model, with optional constraints for model inclusion. Model parameter and prediction averaging based on model weights derived from information criteria (AICc and alike) or custom model weighting schemes. | 2019-07-20 |

r-ncmeta | public | Extract metadata from 'NetCDF' data sources, these can be files, file handles or servers. This package leverages and extends the lower level functions of the 'RNetCDF' package providing a consistent set of functions that all return data frames. We introduce named concepts of 'grid', 'axis' and 'source' which are all meaningful entities without formal definition in the 'NetCDF' library <https://www.unidata.ucar.edu/software/netcdf/>. 'RNetCDF' matches the library itself with only the named concepts of 'variables', 'dimensions' and 'attributes'. 'ncmeta' provides a required framework for the in-development 'tidync' project <https://github.com/hypertidy/tidync>. | 2019-07-20 |

r-nardl | public | Computes the nonlinear cointegrating autoregressive distributed lag model with p lags of the dependent variables and q lags of independent variables proposed by (Shin, Yu & Greenwood-Nimmo, 2014 <doi:10.1007/978-1-4899-8008-3_9>). | 2019-07-20 |

r-nbclust | public | It provides 30 indexes for determining the optimal number of clusters in a data set and offers the best clustering scheme from different results to the user. | 2019-07-20 |

r-ncdunnett | public | Computes the noncentral Dunnett's test distribution (pdf, cdf and quantile) and generates random numbers. | 2019-07-20 |

r-networkd3 | public | No Summary | 2019-07-20 |

r-neuralnet | public | Training of neural networks using backpropagation, resilient backpropagation with (Riedmiller, 1994) or without weight backtracking (Riedmiller and Braun, 1993) or the modified globally convergent version by Anastasiadis et al. (2005). The package allows flexible settings through custom-choice of error and activation function. Furthermore, the calculation of generalized weights (Intrator O & Intrator N, 1993) is implemented. | 2019-07-20 |

r-nnlasso | public | Estimates of coefficients of lasso penalized linear regression and generalized linear models subject to non-negativity constraints on the parameters using multiplicative iterative algorithm. Entire regularization path for a sequence of lambda values can be obtained. Functions are available for creating plots of regularization path, cross validation and estimating coefficients at a given lambda value. There is also provision for obtaining standard error of coefficient estimates. | 2019-07-20 |

r-nomclust | public | Package for hierarchical clustering of objects characterized by nominal variables. | 2019-07-20 |

r-numbers | public | Provides number-theoretic functions for factorization, prime numbers, twin primes, primitive roots, modular logarithm and inverses, extended GCD, Farey series and continuous fractions. Includes Legendre and Jacobi symbols, some divisor functions, Euler's Phi function, etc. | 2019-07-20 |

r-dofuture | public | Provides a '%dopar%' adapter such that any type of futures can be used as backends for the 'foreach' framework. | 2019-07-20 |

r-objectproperties | public | Supports the definition of sets of properties on objects. Observers can listen to changes on individual properties or the set as a whole. The properties are meant to be fully self-describing. In support of this, there is a framework for defining enumerated types, as well as other bounded types, as S4 classes. | 2019-07-20 |

r-pdist | public | Computes the euclidean distance between rows of a matrix X and rows of another matrix Y. Previously, this could be done by binding the two matrices together and calling 'dist', but this creates unnecessary computation by computing the distances between a row of X and another row of X, and likewise for Y. pdist strictly computes distances across the two matrices, not within the same matrix, making computations significantly faster for certain use cases. | 2019-07-20 |

r-padr | public | Transforms datetime data into a format ready for analysis. It offers two core functionalities; aggregating data to a higher level interval (thicken) and imputing records where observations were absent (pad). | 2019-07-20 |

Gallery

About

Documentation

Support

About Anaconda, Inc.

Download Anaconda