Showing 103 of total 103 results (show query)
edzer
sp:Classes and Methods for Spatial Data
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. From this version, 'rgdal', 'maptools', and 'rgeos' are no longer used at all, see <https://r-spatial.org/r/2023/05/15/evolution4.html> for details.
Maintained by Edzer Pebesma. Last updated 2 months ago.
127 stars 18.63 score 35k scripts 1.3k dependents
bioc
Biostrings:Efficient manipulation of biological strings
Memory efficient string containers, string matching algorithms, and other utilities, for fast manipulation of large biological sequences or sets of sequences.
Maintained by Hervé Pagès. Last updated 1 months ago.
sequencematchingalignmentsequencinggeneticsdataimportdatarepresentationinfrastructurebioconductor-packagecore-package
62 stars 17.77 score 8.6k scripts 1.2k dependentsbioc
GenomicRanges:Representation and manipulation of genomic intervals
The ability to efficiently represent and manipulate genomic annotations and alignments is playing a central role when it comes to analyzing high-throughput sequencing data (a.k.a. NGS data). The GenomicRanges package defines general purpose containers for storing and manipulating genomic intervals and variables defined along a genome. More specialized containers for representing and manipulating short alignments against a reference genome, or a matrix-like summarization of an experiment, are defined in the GenomicAlignments and SummarizedExperiment packages, respectively. Both packages build on top of the GenomicRanges infrastructure.
Maintained by Hervé Pagès. Last updated 4 months ago.
geneticsinfrastructuredatarepresentationsequencingannotationgenomeannotationcoveragebioconductor-packagecore-package
44 stars 17.68 score 13k scripts 1.3k dependents
r-forge
Matrix:Sparse and Dense Matrix Classes and Methods
A rich hierarchy of sparse and dense matrix classes, including general, symmetric, triangular, and diagonal matrices with numeric, logical, or pattern entries. Efficient methods for operating on such matrices, often wrapping the 'BLAS', 'LAPACK', and 'SuiteSparse' libraries.
Maintained by Martin Maechler. Last updated 19 days ago.
1 stars 17.23 score 33k scripts 12k dependentsbioc
SummarizedExperiment:A container (S4 class) for matrix-like assays
The SummarizedExperiment container contains one or more assays, each represented by a matrix-like object of numeric or other mode. The rows typically represent genomic ranges of interest and the columns represent samples.
Maintained by Hervé Pagès. Last updated 5 months ago.
geneticsinfrastructuresequencingannotationcoveragegenomeannotationbioconductor-packagecore-package
34 stars 16.84 score 8.6k scripts 1.2k dependents
r-spatial
spdep:Spatial Dependence: Weighting Schemes, Statistics
A collection of functions to create spatial weights matrix objects from polygon 'contiguities', from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial 'autocorrelation', including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord' (1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel' general cross product statistic, Empirical Bayes estimates and 'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured join count statistics, 'APLE' ('Li 'et al.' ) <doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I', 'Gearys C' ('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and 'Getis/Ord' G ('Ord' and 'Getis' 1995) <doi:10.1111/j.1538-4632.1995.tb00912.x>, 'saddlepoint' approximations ('Tiefelsdorf' 2002) <doi:10.1111/j.1538-4632.2002.tb01084.x> and exact tests for global and local 'Moran's I' ('Bivand et al.' 2009) <doi:10.1016/j.csda.2008.07.021> and 'LOSH' local indicators of spatial heteroscedasticity ('Ord' and 'Getis') <doi:10.1007/s00168-011-0492-y>. The implementation of most of these measures is described in 'Bivand' and 'Wong' (2018) <doi:10.1007/s11749-018-0599-x>, with further extensions in 'Bivand' (2022) <doi:10.1111/gean.12319>. 'Lagrange' multiplier tests for spatial dependence in linear models are provided ('Anselin et al'. 1996) <doi:10.1016/0166-0462(95)02111-6>, as are 'Rao' score tests for hypothesised spatial 'Durbin' models based on linear models ('Koley' and 'Bera' 2023) <doi:10.1080/17421772.2023.2256810>. A local indicators for categorical data (LICD) implementation based on 'Carrer et al.' (2021) <doi:10.1016/j.jas.2020.105306> and 'Bivand et al.' (2017) <doi:10.1016/j.spasta.2017.03.003> was added in 1.3-7. From 'spdep' and 'spatialreg' versions >= 1.2-1, the model fitting functions previously present in this package are defunct in 'spdep' and may be found in 'spatialreg'.
Maintained by Roger Bivand. Last updated 30 days ago.
spatial-autocorrelationspatial-dependencespatial-weights
131 stars 16.59 score 6.0k scripts 106 dependentsbioc
Biobase:Biobase: Base functions for Bioconductor
Functions that are needed by many other packages or which replace R functions.
Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.
infrastructurebioconductor-packagecore-package
9 stars 16.45 score 6.6k scripts 1.8k dependentsbioc
IRanges:Foundation of integer range manipulation in Bioconductor
Provides efficient low-level and highly reusable S4 classes for storing, manipulating and aggregating over annotated ranges of integers. Implements an algebra of range operations, including efficient algorithms for finding overlaps and nearest neighbors. Defines efficient list-like classes for storing, transforming and aggregating large grouped data, i.e., collections of atomic vectors and DataFrames.
Maintained by Hervé Pagès. Last updated 2 months ago.
infrastructuredatarepresentationbioconductor-packagecore-package
22 stars 16.09 score 2.1k scripts 1.8k dependentsbioc
S4Vectors:Foundation of vector-like and list-like containers in Bioconductor
The S4Vectors package defines the Vector and List virtual classes and a set of generic functions that extend the semantic of ordinary vectors and lists in R. Package developers can easily implement vector-like or list-like objects as concrete subclasses of Vector or List. In addition, a few low-level concrete subclasses of general interest (e.g. DataFrame, Rle, Factor, and Hits) are implemented in the S4Vectors package itself (many more are implemented in the IRanges package and in other Bioconductor infrastructure packages).
Maintained by Hervé Pagès. Last updated 2 months ago.
infrastructuredatarepresentationbioconductor-packagecore-package
18 stars 16.05 score 1.0k scripts 1.9k dependentsbioc
DelayedArray:A unified framework for working transparently with on-disk and in-memory array-like datasets
Wrapping an array-like object (typically an on-disk object) in a DelayedArray object allows one to perform common array operations on it without loading the object in memory. In order to reduce memory usage and optimize performance, operations on the object are either delayed or executed using a block processing mechanism. Note that this also works on in-memory array-like objects like DataFrame objects (typically with Rle columns), Matrix objects, ordinary arrays and, data frames.
Maintained by Hervé Pagès. Last updated 1 months ago.
infrastructuredatarepresentationannotationgenomeannotationbioconductor-packagecore-packageu24ca289073
27 stars 15.59 score 538 scripts 1.2k dependentsbioc
GenomicAlignments:Representation and manipulation of short genomic alignments
Provides efficient containers for storing and manipulating short genomic alignments (typically obtained by aligning short reads to a reference genome). This includes read counting, computing the coverage, junction detection, and working with the nucleotide content of the alignments.
Maintained by Hervé Pagès. Last updated 5 months ago.
infrastructuredataimportgeneticssequencingrnaseqsnpcoveragealignmentimmunooncologybioconductor-packagecore-package
10 stars 15.21 score 3.1k scripts 528 dependentsbioc
MultiAssayExperiment:Software for the integration of multi-omics experiments in Bioconductor
Harmonize data management of multiple experimental assays performed on an overlapping set of specimens. It provides a familiar Bioconductor user experience by extending concepts from SummarizedExperiment, supporting an open-ended mix of standard data classes for individual assays, and allowing subsetting by genomic ranges or rownames. Facilities are provided for reshaping data into wide and long formats for adaptability to graphing and downstream analysis.
Maintained by Marcel Ramos. Last updated 2 months ago.
infrastructuredatarepresentationbioconductorbioconductor-packagegenomicsnci-itcrtcgau24ca289073
71 stars 14.95 score 670 scripts 127 dependentsbioc
BSgenome:Software infrastructure for efficient representation of full genomes and their SNPs
Infrastructure shared by all the Biostrings-based genome data packages.
Maintained by Hervé Pagès. Last updated 2 months ago.
geneticsinfrastructuredatarepresentationsequencematchingannotationsnpbioconductor-packagecore-package
9 stars 14.12 score 1.2k scripts 267 dependentsedzer
hexbin:Hexagonal Binning Routines
Binning and plotting functions for hexagonal bins.
Maintained by Edzer Pebesma. Last updated 5 months ago.
37 stars 14.00 score 2.4k scripts 114 dependents
mhahsler
arules:Mining Association Rules and Frequent Itemsets
Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also provides C implementations of the association mining algorithms Apriori and Eclat. Hahsler, Gruen and Hornik (2005) <doi:10.18637/jss.v014.i15>.
Maintained by Michael Hahsler. Last updated 2 months ago.
arulesassociation-rulesfrequent-itemsets
194 stars 13.99 score 3.3k scripts 28 dependentsbioc
SingleCellExperiment:S4 Classes for Single Cell Data
Defines a S4 class for storing data from single-cell experiments. This includes specialized methods to store and retrieve spike-in information, dimensionality reduction coordinates and size factors for each cell, along with the usual metadata for genes and libraries.
Maintained by Davide Risso. Last updated 21 days ago.
immunooncologydatarepresentationdataimportinfrastructuresinglecell
13.53 score 15k scripts 285 dependentsbioc
HDF5Array:HDF5 datasets as array-like objects in R
The HDF5Array package is an HDF5 backend for DelayedArray objects. It implements the HDF5Array, H5SparseMatrix, H5ADMatrix, and TENxMatrix classes, 4 convenient and memory-efficient array-like containers for representing and manipulating either: (1) a conventional (a.k.a. dense) HDF5 dataset, (2) an HDF5 sparse matrix (stored in CSR/CSC/Yale format), (3) the central matrix of an h5ad file (or any matrix in the /layers group), or (4) a 10x Genomics sparse matrix. All these containers are DelayedArray extensions and thus support all operations (delayed or block-processed) supported by DelayedArray objects.
Maintained by Hervé Pagès. Last updated 9 days ago.
infrastructuredatarepresentationdataimportsequencingrnaseqcoverageannotationgenomeannotationsinglecellimmunooncologybioconductor-packagecore-packageu24ca289073
12 stars 13.20 score 844 scripts 126 dependentsr-spatial
spatialreg:Spatial Regression Analysis
A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep'. These model fitting functions include maximum likelihood methods for cross-sectional models proposed by 'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814), fitting methods initially described by 'Ord' (1975) <doi:10.1080/01621459.1975.10480272>. The models are further described by 'Anselin' (1988) <doi:10.1007/978-94-015-7799-1>. Spatial two stage least squares and spatial general method of moment models initially proposed by 'Kelejian' and 'Prucha' (1998) <doi:10.1023/A:1007707430416> and (1999) <doi:10.1111/1468-2354.00027> are provided. Impact methods and MCMC fitting methods proposed by 'LeSage' and 'Pace' (2009) <doi:10.1201/9781420064254> are implemented for the family of cross-sectional spatial regression models. Methods for fitting the log determinant term in maximum likelihood and MCMC fitting are compared by 'Bivand et al.' (2013) <doi:10.1111/gean.12008>, and model fitting methods by 'Bivand' and 'Piras' (2015) <doi:10.18637/jss.v063.i18>; both of these articles include extensive lists of references. A recent review is provided by 'Bivand', 'Millo' and 'Piras' (2021) <doi:10.3390/math9111276>. 'spatialreg' >= 1.1-* corresponded to 'spdep' >= 1.1-1, in which the model fitting functions were deprecated and passed through to 'spatialreg', but masked those in 'spatialreg'. From versions 1.2-*, the functions have been made defunct in 'spdep'. From version 1.3-6, add Anselin-Kelejian (1997) test to `stsls` for residual spatial autocorrelation <doi:10.1177/016001769702000109>.
Maintained by Roger Bivand. Last updated 8 days ago.
bayesianimpactsmaximum-likelihoodspatial-dependencespatial-econometricsspatial-regressionopenblas
46 stars 12.97 score 916 scripts 24 dependentsbioc
minfi:Analyze Illumina Infinium DNA methylation arrays
Tools to analyze & visualize Illumina Infinium methylation arrays.
Maintained by Kasper Daniel Hansen. Last updated 4 months ago.
immunooncologydnamethylationdifferentialmethylationepigeneticsmicroarraymethylationarraymultichanneltwochanneldataimportnormalizationpreprocessingqualitycontrol
60 stars 12.82 score 996 scripts 27 dependents
spedygiorgio
markovchain:Easy Handling Discrete Time Markov Chains
Functions and S4 methods to create and manage discrete time Markov chains more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of their structural proprieties) analysis are provided. See Spedicato (2017) <doi:10.32614/RJ-2017-036>. Some functions for continuous times Markov chains depend on the suggested ctmcd package.
Maintained by Giorgio Alfredo Spedicato. Last updated 5 months ago.
ctmcdtmcmarkov-chainmarkov-modelr-programmingrcppopenblascpp
104 stars 12.78 score 712 scripts 4 dependentsbioc
MSnbase:Base Functions and Classes for Mass Spectrometry and Proteomics
MSnbase provides infrastructure for manipulation, processing and visualisation of mass spectrometry and proteomics data, ranging from raw to quantitative and annotated data.
Maintained by Laurent Gatto. Last updated 14 days ago.
immunooncologyinfrastructureproteomicsmassspectrometryqualitycontroldataimportbioconductorbioinformaticsmass-spectrometryproteomics-datavisualisationcpp
131 stars 12.76 score 772 scripts 36 dependentsbioc
rtracklayer:R interface to genome annotation files and the UCSC genome browser
Extensible framework for interacting with multiple genome browsers (currently UCSC built-in) and manipulating annotation tracks in various formats (currently GFF, BED, bedGraph, BED15, WIG, BigWig and 2bit built-in). The user may export/import tracks to/from the supported browsers, as well as query and modify the browser state, such as the current viewport.
Maintained by Michael Lawrence. Last updated 3 days ago.
annotationvisualizationdataimportzlibopensslcurl
12.66 score 6.7k scripts 480 dependentsbioc
SparseArray:High-performance sparse data representation and manipulation in R
The SparseArray package provides array-like containers for efficient in-memory representation of multidimensional sparse data in R (arrays and matrices). The package defines the SparseArray virtual class and two concrete subclasses: COO_SparseArray and SVT_SparseArray. Each subclass uses its own internal representation of the nonzero multidimensional data: the "COO layout" and the "SVT layout", respectively. SVT_SparseArray objects mimic as much as possible the behavior of ordinary matrix and array objects in base R. In particular, they suppport most of the "standard matrix and array API" defined in base R and in the matrixStats package from CRAN.
Maintained by Hervé Pagès. Last updated 10 days ago.
infrastructuredatarepresentationbioconductor-packagecore-packageopenmp
9 stars 12.47 score 79 scripts 1.2k dependents
melff
memisc:Management of Survey Data and Presentation of Analysis Results
An infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files is provided. Further, the package allows to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.
Maintained by Martin Elff. Last updated 23 days ago.
46 stars 12.34 score 1.2k scripts 13 dependents
tomoakin
RPostgreSQL:R Interface to the 'PostgreSQL' Database System
Database interface and 'PostgreSQL' driver for 'R'. This package provides a Database Interface 'DBI' compliant driver for 'R' to access 'PostgreSQL' database systems. In order to build and install this package from source, 'PostgreSQL' itself must be present your system to provide 'PostgreSQL' functionality via its libraries and header files. These files are provided as 'postgresql-devel' package under some Linux distributions. On 'macOS' and 'Microsoft Windows' system the attached 'libpq' library source will be used.
Maintained by Tomoaki Nishiyama. Last updated 13 hours ago.
66 stars 12.11 score 4.5k scripts 19 dependentsbioc
ShortRead:FASTQ input and manipulation
This package implements sampling, iteration, and input of FASTQ files. The package includes functions for filtering and trimming reads, and for generating a quality assessment report. Data are represented as DNAStringSet-derived objects, and easily manipulated for a diversity of purposes. The package also contains legacy support for early single-end, ungapped alignment formats.
Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.
dataimportsequencingqualitycontrolbioconductor-packagecore-packagezlibcpp
8 stars 12.08 score 1.8k scripts 49 dependentsbioc
QFeatures:Quantitative features for mass spectrometry data
The QFeatures infrastructure enables the management and processing of quantitative features for high-throughput mass spectrometry assays. It provides a familiar Bioconductor user experience to manages quantitative data across different assay levels (such as peptide spectrum matches, peptides and proteins) in a coherent and tractable format.
Maintained by Laurent Gatto. Last updated 24 days ago.
infrastructuremassspectrometryproteomicsmetabolomicsbioconductormass-spectrometry
27 stars 11.87 score 278 scripts 49 dependentsbioc
graph:graph: A package to handle graph data structures
A package that implements some simple graph handling capabilities.
Maintained by Bioconductor Package Maintainer. Last updated 9 days ago.
11.86 score 764 scripts 339 dependentsbioc
XVector:Foundation of external vector representation and manipulation in Bioconductor
Provides memory efficient S4 classes for storing sequences "externally" (e.g. behind an R external pointer, or on disk).
Maintained by Hervé Pagès. Last updated 3 months ago.
infrastructuredatarepresentationbioconductor-packagecore-packagezlib
2 stars 11.36 score 67 scripts 1.7k dependentsr-forge
Rmpfr:Interface R to MPFR - Multiple Precision Floating-Point Reliable
Arithmetic (via S4 classes and methods) for arbitrary precision floating point numbers, including transcendental ("special") functions. To this end, the package interfaces to the 'LGPL' licensed 'MPFR' (Multiple Precision Floating-Point Reliable) Library which itself is based on the 'GMP' (GNU Multiple Precision) Library.
Maintained by Martin Maechler. Last updated 4 months ago.
11.30 score 316 scripts 141 dependentsbioc
S4Arrays:Foundation of array-like containers in Bioconductor
The S4Arrays package defines the Array virtual class to be extended by other S4 classes that wish to implement a container with an array-like semantic. It also provides: (1) low-level functionality meant to help the developer of such container to implement basic operations like display, subsetting, or coercion of their array-like objects to an ordinary matrix or array, and (2) a framework that facilitates block processing of array-like objects (typically on-disk objects).
Maintained by Hervé Pagès. Last updated 2 months ago.
infrastructuredatarepresentationbioconductor-packagecore-package
5 stars 10.99 score 8 scripts 1.2k dependents
zdebruine
RcppML:Rcpp Machine Learning Library
Fast machine learning algorithms including matrix factorization and divisive clustering for large sparse and dense matrices.
Maintained by Zach DeBruine. Last updated 2 years ago.
clusteringmatrix-factorizationnmfrcpprcppeigensparse-matrixcppopenmp
107 stars 10.66 score 125 scripts 50 dependentsbioc
ChemmineR:Cheminformatics Toolkit for R
ChemmineR is a cheminformatics package for analyzing drug-like small molecule data in R. Its latest version contains functions for efficient processing of large numbers of molecules, physicochemical/structural property predictions, structural similarity searching, classification and clustering of compound libraries with a wide spectrum of algorithms. In addition, it offers visualization functions for compound clustering results and chemical structures.
Maintained by Thomas Girke. Last updated 5 months ago.
cheminformaticsbiomedicalinformaticspharmacogeneticspharmacogenomicsmicrotitreplateassaycellbasedassaysvisualizationinfrastructuredataimportclusteringproteomicsmetabolomicscpp
15 stars 10.45 score 253 scripts 12 dependentsmhahsler
recommenderlab:Lab for Developing and Testing Recommender Algorithms
Provides a research infrastructure to develop and evaluate collaborative filtering recommender algorithms. This includes a sparse representation for user-item matrices, many popular algorithms, top-N recommendations, and cross-validation. Hahsler (2022) <doi:10.48550/arXiv.2205.12371>.
Maintained by Michael Hahsler. Last updated 3 days ago.
collaborative-filteringrecommender-system
214 stars 10.42 score 840 scripts 2 dependents
agrdatasci
gdistance:Distances and Routes on Geographical Grids
Provides classes and functions to calculate various distance measures and routes in heterogeneous geographic spaces represented as grids. The package implements measures to model dispersal histories first presented by van Etten and Hijmans (2010) <doi:10.1371/journal.pone.0012060>. Least-cost distances as well as more complex distances based on (constrained) random walks can be calculated. The distances implemented in the package are used in geographical genetics, accessibility indicators, and may also have applications in other fields of geospatial analysis.
Maintained by Andrew Marx. Last updated 1 years ago.
17 stars 10.34 score 478 scripts 23 dependentsbioc
Cardinal:A mass spectrometry imaging toolbox for statistical analysis
Implements statistical & computational tools for analyzing mass spectrometry imaging datasets, including methods for efficient pre-processing, spatial segmentation, and classification.
Maintained by Kylie Ariel Bemis. Last updated 3 months ago.
softwareinfrastructureproteomicslipidomicsmassspectrometryimagingmassspectrometryimmunooncologynormalizationclusteringclassificationregression
48 stars 10.32 score 200 scriptsbioc
GSEABase:Gene set enrichment data structures and methods
This package provides classes and methods to support Gene Set Enrichment Analysis (GSEA).
Maintained by Bioconductor Package Maintainer. Last updated 2 months ago.
geneexpressiongenesetenrichmentgraphandnetworkgokegg
10.27 score 1.5k scripts 77 dependents
mages
ChainLadder:Statistical Methods and Models for Claims Reserving in General Insurance
Various statistical methods and models which are typically used for the estimation of outstanding claims reserves in general insurance, including those to estimate the claims development result as required under Solvency II.
Maintained by Markus Gesmann. Last updated 2 months ago.
82 stars 10.04 score 196 scripts 2 dependentsbioc
biocViews:Categorized views of R package repositories
Infrastructure to support 'views' used to classify Bioconductor packages. 'biocViews' are directed acyclic graphs of terms from a controlled vocabulary. There are three major classifications, corresponding to 'software', 'annotation', and 'experiment data' packages.
Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.
infrastructurebioconductor-packagecore-package
4 stars 9.71 score 30 scripts 14 dependentsbioc
cytomapper:Visualization of highly multiplexed imaging data in R
Highly multiplexed imaging acquires the single-cell expression of selected proteins in a spatially-resolved fashion. These measurements can be visualised across multiple length-scales. First, pixel-level intensities represent the spatial distributions of feature expression with highest resolution. Second, after segmentation, expression values or cell-level metadata (e.g. cell-type information) can be visualised on segmented cell areas. This package contains functions for the visualisation of multiplexed read-outs and cell-level information obtained by multiplexed imaging technologies. The main functions of this package allow 1. the visualisation of pixel-level information across multiple channels, 2. the display of cell-level information (expression and/or metadata) on segmentation masks and 3. gating and visualisation of single cells.
Maintained by Lasse Meyer. Last updated 5 months ago.
immunooncologysoftwaresinglecellonechanneltwochannelmultiplecomparisonnormalizationdataimportbioimagingimaging-mass-cytometrysingle-cellspatial-analysis
32 stars 9.61 score 354 scripts 5 dependentsedzer
intervals:Tools for Working with Points and Intervals
Tools for working with and comparing sets of points and intervals.
Maintained by Edzer Pebesma. Last updated 7 months ago.
11 stars 9.50 score 122 scripts 98 dependentsbioc
snpStats:SnpMatrix and XSnpMatrix classes and methods
Classes and statistical methods for large SNP association studies. This extends the earlier snpMatrix package, allowing for uncertainty in genotypes.
Maintained by David Clayton. Last updated 5 months ago.
microarraysnpgeneticvariabilityzlib
9.48 score 674 scripts 20 dependentsbioc
RaggedExperiment:Representation of Sparse Experiments and Assays Across Samples
This package provides a flexible representation of copy number, mutation, and other data that fit into the ragged array schema for genomic location data. The basic representation of such data provides a rectangular flat table interface to the user with range information in the rows and samples/specimen in the columns. The RaggedExperiment class derives from a GRangesList representation and provides a semblance of a rectangular dataset.
Maintained by Marcel Ramos. Last updated 4 months ago.
infrastructuredatarepresentationcopynumbercore-packagedata-structuremutationsu24ca289073
4 stars 8.93 score 76 scripts 14 dependentsbioc
marray:Exploratory analysis for two-color spotted microarray data
Class definitions for two-color spotted microarray data. Fuctions for data input, diagnostic plots, normalization and quality checking.
Maintained by Yee Hwa (Jean) Yang. Last updated 5 months ago.
microarraytwochannelpreprocessing
8.92 score 222 scripts 38 dependents
cran
XML:Tools for Parsing and Generating XML Within R and S-Plus
Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Maintained by CRAN Team. Last updated 3 months ago.
3 stars 8.87 score 1.3k dependentsbioc
iCOBRA:Comparison and Visualization of Ranking and Assignment Methods
This package provides functions for calculation and visualization of performance metrics for evaluation of ranking and binary classification (assignment) methods. Various types of performance plots can be generated programmatically. The package also contains a shiny application for interactive exploration of results.
Maintained by Charlotte Soneson. Last updated 3 months ago.
14 stars 8.86 score 192 scripts 1 dependents
flr
FLCore:Core Package of FLR, Fisheries Modelling in R
Core classes and methods for FLR, a framework for fisheries modelling and management strategy simulation in R. Developed by a team of fisheries scientists in various countries. More information can be found at <http://flr-project.org/>.
Maintained by Iago Mosqueira. Last updated 8 days ago.
fisheriesflrfisheries-modelling
16 stars 8.78 score 956 scripts 23 dependentsr-forge
distr:Object Oriented Implementation of Distributions
S4-classes and methods for distributions.
Maintained by Peter Ruckdeschel. Last updated 2 months ago.
8.77 score 327 scripts 32 dependentscran
RCurl:General Network (HTTP/FTP/...) Client Interface for R
A wrapper for 'libcurl' <https://curl.se/libcurl/> Provides functions to allow one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.
Maintained by CRAN Team. Last updated 6 days ago.
2 stars 8.50 score 1.0k dependentsbioc
vsn:Variance stabilization and calibration for microarray data
The package implements a method for normalising microarray intensities from single- and multiple-color arrays. It can also be used for data from other technologies, as long as they have similar format. The method uses a robust variant of the maximum-likelihood estimator for an additive-multiplicative error model and affine calibration. The model incorporates data calibration step (a.k.a. normalization), a model for the dependence of the variance on the mean intensity and a variance stabilizing data transformation. Differences between transformed intensities are analogous to "normalized log-ratios". However, in contrast to the latter, their variance is independent of the mean, and they are usually more sensitive and specific in detecting differential transcription.
Maintained by Wolfgang Huber. Last updated 5 months ago.
microarrayonechanneltwochannelpreprocessing
8.49 score 924 scripts 51 dependentscran
flexmix:Flexible Mixture Modeling
A general framework for finite mixtures of regression models using the EM algorithm is implemented. The E-step and all data handling are provided, while the M-step can be supplied by the user to easily define new models. Existing drivers implement mixtures of standard linear models, generalized linear models and model-based clustering.
Maintained by Bettina Gruen. Last updated 29 days ago.
5 stars 8.19 score 113 dependents
rdpeng
filehash:Simple Key-Value Database
Implements a simple key-value style database where character string keys are associated with data values that are stored on the disk. A simple interface is provided for inserting, retrieving, and deleting data from the database. Utilities are provided that allow 'filehash' databases to be treated much like environments and lists are already used in R. These utilities are provided to encourage interactive and exploratory analysis on large datasets. Three different file formats for representing the database are currently available and new formats can easily be incorporated by third parties for use in the 'filehash' framework.
Maintained by Roger D. Peng. Last updated 2 years ago.
24 stars 8.16 score 78 scripts 11 dependentsbioc
motifStack:Plot stacked logos for single or multiple DNA, RNA and amino acid sequence
The motifStack package is designed for graphic representation of multiple motifs with different similarity scores. It works with both DNA/RNA sequence motif and amino acid sequence motif. In addition, it provides the flexibility for users to customize the graphic parameters such as the font type and symbol colors.
Maintained by Jianhong Ou. Last updated 3 months ago.
sequencematchingvisualizationsequencingmicroarrayalignmentchipchipchipseqmotifannotationdataimport
7.93 score 188 scripts 6 dependentsr-forge
tuneR:Analysis of Music and Speech
Analyze music and speech, extract features like MFCCs, handle wave files and their representation in various ways, read mp3, read midi, perform steps of a transcription, ... Also contains functions ported from the 'rastamat' 'Matlab' package.
Maintained by Uwe Ligges. Last updated 12 months ago.
7.93 score 1.1k scripts 44 dependentscran
timeSeries:Financial Time Series Objects (Rmetrics)
'S4' classes and various tools for financial time series: Basic functions such as scaling and sorting, subsetting, mathematical operations and statistical functions.
Maintained by Georgi N. Boshnakov. Last updated 6 months ago.
2 stars 7.89 score 146 dependents
trevorhastie
softImpute:Matrix Completion via Iterative Soft-Thresholded SVD
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).
Maintained by Trevor Hastie. Last updated 4 years ago.
10 stars 7.47 score 253 scripts 22 dependents
bastistician
polyCub:Cubature over Polygonal Domains
Numerical integration of continuously differentiable functions f(x,y) over simple closed polygonal domains. The following cubature methods are implemented: product Gauss cubature (Sommariva and Vianello, 2007, <doi:10.1007/s10543-007-0131-2>), the simple two-dimensional midpoint rule (wrapping 'spatstat.geom' functions), and adaptive cubature for radially symmetric functions via line integrate() along the polygon boundary (Meyer and Held, 2014, <doi:10.1214/14-AOAS743>, Supplement B). For simple integration along the axes, the 'cubature' package is more appropriate.
Maintained by Sebastian Meyer. Last updated 2 months ago.
10 stars 7.08 score 26 scripts 5 dependentsspedygiorgio
lifecontingencies:Financial and Actuarial Mathematics for Life Contingencies
Classes and methods that allow the user to manage life table, actuarial tables (also multiple decrements tables). Moreover, functions to easily perform demographic, financial and actuarial mathematics on life contingencies insurances calculations are contained therein. See Spedicato (2013) <doi:10.18637/jss.v055.i10>.
Maintained by Giorgio Alfredo Spedicato. Last updated 6 months ago.
actuarialfinanciallife-contingencieslife-insurancecpp
61 stars 7.06 score 156 scriptsbioc
fmcsR:Mismatch Tolerant Maximum Common Substructure Searching
The fmcsR package introduces an efficient maximum common substructure (MCS) algorithms combined with a novel matching strategy that allows for atom and/or bond mismatches in the substructures shared among two small molecules. The resulting flexible MCSs (FMCSs) are often larger than strict MCSs, resulting in the identification of more common features in their source structures, as well as a higher sensitivity in finding compounds with weak structural similarities. The fmcsR package provides several utilities to use the FMCS algorithm for pairwise compound comparisons, structure similarity searching and clustering.
Maintained by Thomas Girke. Last updated 5 months ago.
cheminformaticsbiomedicalinformaticspharmacogeneticspharmacogenomicsmicrotitreplateassaycellbasedassaysvisualizationinfrastructuredataimportclusteringproteomicsmetabolomicscpp
5 stars 7.03 score 60 scripts 1 dependents
ludovikcoba
rrecsys:Environment for Evaluating Recommender Systems
Processes standard recommendation datasets (e.g., a user-item rating matrix) as input and generates rating predictions and lists of recommended items. Standard algorithm implementations which are included in this package are the following: Global/Item/User-Average baselines, Weighted Slope One, Item-Based KNN, User-Based KNN, FunkSVD, BPR and weighted ALS. They can be assessed according to the standard offline evaluation methodology (Shani, et al. (2011) <doi:10.1007/978-0-387-85820-3_8>) for recommender systems using measures such as MAE, RMSE, Precision, Recall, F1, AUC, NDCG, RankScore and coverage measures. The package (Coba, et al.(2017) <doi: 10.1007/978-3-319-60042-0_36>) is intended for rapid prototyping of recommendation algorithms and education purposes.
Maintained by Ludovik Çoba. Last updated 3 years ago.
23 stars 6.84 score 25 scriptsbioc
GDSArray:Representing GDS files as array-like objects
GDS files are widely used to represent genotyping or sequence data. The GDSArray package implements the `GDSArray` class to represent nodes in GDS files in a matrix-like representation that allows easy manipulation (e.g., subsetting, mathematical transformation) in _R_. The data remains on disk until needed, so that very large files can be processed.
Maintained by Xiuwen Zheng. Last updated 10 days ago.
infrastructuredatarepresentationsequencinggenotypingarray
5 stars 6.78 score 8 scripts 2 dependents
spluque
diveMove:Dive Analysis and Calibration
Utilities to represent, visualize, filter, analyse, and summarize time-depth recorder (TDR) data. Miscellaneous functions for handling location data are also provided.
Maintained by Sebastian P. Luque. Last updated 6 months ago.
animal-behaviorbehavioural-ecologybiologydivingscience
6 stars 6.75 score 55 scriptsbioc
Rarr:Read Zarr Files in R
The Zarr specification defines a format for chunked, compressed, N-dimensional arrays. It's design allows efficient access to subsets of the stored array, and supports both local and cloud storage systems. Rarr aims to implement this specifcation in R with minimal reliance on an external tools or libraries.
Maintained by Mike Smith. Last updated 29 days ago.
dataimportome-zarron-diskout-of-memoryzarrc-blosclibzstd
35 stars 6.68 score 21 scriptsr-forge
distrEx:Extensions of Package 'distr'
Extends package 'distr' by functionals, distances, and conditional distributions.
Maintained by Matthias Kohl. Last updated 2 months ago.
6.64 score 107 scripts 17 dependentsr-forge
distrMod:Object Oriented Implementation of Probability Models
Implements S4 classes for probability models based on packages 'distr' and 'distrEx'.
Maintained by Peter Ruckdeschel. Last updated 2 months ago.
6.60 score 139 scripts 6 dependentsflr
FLBRP:Reference Points for Fisheries Management
Calculates a range of biological reference points based upon yield per recruit and stock recruit based equilibrium calculations. These include F based reference points like F0.1, FMSY and biomass based reference points like BMSY.
Maintained by Iago Mosqueira. Last updated 4 months ago.
reference pointsfisheriesflrcpp
2 stars 6.58 score 350 scripts 4 dependentsbioc
SpliceWiz:interactive analysis and visualization of alternative splicing in R
The analysis and visualization of alternative splicing (AS) events from RNA sequencing data remains challenging. SpliceWiz is a user-friendly and performance-optimized R package for AS analysis, by processing alignment BAM files to quantify read counts across splice junctions, IRFinder-based intron retention quantitation, and supports novel splicing event identification. We introduce a novel visualization for AS using normalized coverage, thereby allowing visualization of differential AS across conditions. SpliceWiz features a shiny-based GUI facilitating interactive data exploration of results including gene ontology enrichment. It is performance optimized with multi-threaded processing of BAM files and a new COV file format for fast recall of sequencing coverage. Overall, SpliceWiz streamlines AS analysis, enabling reliable identification of functionally relevant AS events for further characterization.
Maintained by Alex Chit Hei Wong. Last updated 16 days ago.
softwaretranscriptomicsrnaseqalternativesplicingcoveragedifferentialsplicingdifferentialexpressionguisequencingcppopenmp
16 stars 6.41 score 8 scriptsbioc
lumi:BeadArray Specific Methods for Illumina Methylation and Expression Microarrays
The lumi package provides an integrated solution for the Illumina microarray data analysis. It includes functions of Illumina BeadStudio (GenomeStudio) data input, quality control, BeadArray-specific variance stabilization, normalization and gene annotation at the probe level. It also includes the functions of processing Illumina methylation microarrays, especially Illumina Infinium methylation microarrays.
Maintained by Lei Huang. Last updated 5 months ago.
microarrayonechannelpreprocessingdnamethylationqualitycontroltwochannel
6.26 score 294 scripts 5 dependentsbioc
CAGEr:Analysis of CAGE (Cap Analysis of Gene Expression) sequencing data for precise mapping of transcription start sites and promoterome mining
The _CAGEr_ package identifies transcription start sites (TSS) and their usage frequency from CAGE (Cap Analysis Gene Expression) sequencing data. It normalises raw CAGE tag count, clusters TSSs into tag clusters (TC) and aggregates them across multiple CAGE experiments to construct consensus clusters (CC) representing the promoterome. CAGEr provides functions to profile expression levels of these clusters by cumulative expression and rarefaction analysis, and outputs the plots in ggplot2 format for further facetting and customisation. After clustering, CAGEr performs analyses of promoter width and detects differential usage of TSSs (promoter shifting) between samples. CAGEr also exports its data as genome browser tracks, and as R objects for downsteam expression analysis by other Bioconductor packages such as DESeq2, CAGEfightR, or seqArchR.
Maintained by Charles Plessy. Last updated 5 months ago.
preprocessingsequencingnormalizationfunctionalgenomicstranscriptiongeneexpressionclusteringvisualization
6.12 score 73 scriptsbioc
hopach:Hierarchical Ordered Partitioning and Collapsing Hybrid (HOPACH)
The HOPACH clustering algorithm builds a hierarchical tree of clusters by recursively partitioning a data set, while ordering and possibly collapsing clusters at each level. The algorithm uses the Mean/Median Split Silhouette (MSS) criteria to identify the level of the tree with maximally homogeneous clusters. It also runs the tree down to produce a final ordered list of the elements. The non-parametric bootstrap allows one to estimate the probability that each element belongs to each cluster (fuzzy clustering).
Maintained by Katherine S. Pollard. Last updated 5 months ago.
6.05 score 54 scripts 5 dependentsr-forge
RandVar:Implementation of Random Variables
Implements random variables by means of S4 classes and methods.
Maintained by Matthias Kohl. Last updated 2 months ago.
6.03 score 43 scripts 7 dependents
duncantl
CodeDepends:Analysis of R Code for Reproducible Research and Code Comprehension
Tools for analyzing R expressions or blocks of code and determining the dependencies between them. It focuses on R scripts, but can be used on the bodies of functions. There are many facilities including the ability to summarize or get a high-level view of code, determining dependencies between variables, code improvement suggestions.
Maintained by Gabriel Becker. Last updated 1 years ago.
89 stars 5.87 score 70 scripts 1 dependentsbioc
oligoClasses:Classes for high-throughput arrays supported by oligo and crlmm
This package contains class definitions, validity checks, and initialization methods for classes used by the oligo and crlmm packages.
Maintained by Benilton Carvalho. Last updated 5 months ago.
5.85 score 93 scripts 17 dependentscran
flexclust:Flexible Cluster Algorithms
The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include hard competitive learning, neural gas, and QT clustering. There are numerous visualization methods for cluster results (neighborhood graphs, convex cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis of cluster stability.
Maintained by Bettina Grün. Last updated 29 days ago.
3 stars 5.81 score 52 dependents
ugroempi
relaimpo:Relative Importance of Regressors in Linear Models
Provides several metrics for assessing relative importance in linear models. These can be printed, plotted and bootstrapped. The recommended metric is lmg, which provides a decomposition of the model explained variance into non-negative contributions. There is a version of this package available that additionally provides a new and also recommended metric called pmvd. If you are a non-US user, you can download this extended version from Ulrike Groempings web site.
Maintained by Ulrike Groemping. Last updated 1 years ago.
3 stars 5.75 score 632 scripts 3 dependents
ajmcneil
tscopula:Time Series Copula Models
Functions for the analysis of time series using copula models. The package is based on methodology described in the following references. McNeil, A.J. (2021) <doi:10.3390/risks9010014>, Bladt, M., & McNeil, A.J. (2021) <doi:10.1016/j.ecosta.2021.07.004>, Bladt, M., & McNeil, A.J. (2022) <doi:10.1515/demo-2022-0105>.
Maintained by Alexander McNeil. Last updated 1 months ago.
2 stars 5.53 score 12 scriptsbioc
genomeIntervals:Operations on genomic intervals
This package defines classes for representing genomic intervals and provides functions and methods for working with these. Note: The package provides the basic infrastructure for and is enhanced by the package 'girafe'.
Maintained by Julien Gagneur. Last updated 5 months ago.
dataimportinfrastructuregenetics
5.43 score 45 scripts 2 dependents
anainesvs
pedigreemm:Pedigree-Based Mixed-Effects Models
Fit pedigree-based mixed-effects models.
Maintained by Ana Ines Vazquez. Last updated 1 years ago.
1 stars 5.42 score 87 scripts 2 dependentsbioc
QTLExperiment:S4 classes for QTL summary statistics and metadata
QLTExperiment defines an S4 class for storing and manipulating summary statistics from QTL mapping experiments in one or more states. It is based on the 'SummarizedExperiment' class and contains functions for creating, merging, and subsetting objects. 'QTLExperiment' also stores experiment metadata and has checks in place to ensure that transformations apply correctly.
Maintained by Amelia Dunstone. Last updated 9 days ago.
functionalgenomicsdataimportdatarepresentationinfrastructuresequencingsnpsoftware
2 stars 5.32 score 14 scripts 1 dependents
lbbe-software
MareyMap:Estimation of Meiotic Recombination Rates Using Marey Maps
Local recombination rates are graphically estimated across a genome using Marey maps.
Maintained by Aurélie Siberchicot. Last updated 25 days ago.
1 stars 5.30 score 20 scriptsbioc
DelayedDataFrame:Delayed operation on DataFrame using standard DataFrame metaphor
Based on the standard DataFrame metaphor, we are trying to implement the feature of delayed operation on the DelayedDataFrame, with a slot of lazyIndex, which saves the mapping indexes for each column of DelayedDataFrame. Methods like show, validity check, [/[[ subsetting, rbind/cbind are implemented for DelayedDataFrame to be operated around lazyIndex. The listData slot stays untouched until a realization call e.g., DataFrame constructor OR as.list() is invoked.
Maintained by Qian Liu. Last updated 5 months ago.
infrastructuredatarepresentation
2 stars 5.26 score 3 scripts 1 dependentsbioc
BulkSignalR:Infer Ligand-Receptor Interactions from bulk expression (transcriptomics/proteomics) data, or spatial transcriptomics
Inference of ligand-receptor (LR) interactions from bulk expression (transcriptomics/proteomics) data, or spatial transcriptomics. BulkSignalR bases its inferences on the LRdb database included in our other package, SingleCellSignalR available from Bioconductor. It relies on a statistical model that is specific to bulk data sets. Different visualization and data summary functions are proposed to help navigating prediction results.
Maintained by Jean-Philippe Villemin. Last updated 3 months ago.
networkrnaseqsoftwareproteomicstranscriptomicsnetworkinferencespatial
5.22 score 15 scripts
covaruber
lme4breeding:Relationship-Based Mixed-Effects Models
Fit relationship-based and customized mixed-effects models with complex variance-covariance structures using the 'lme4' machinery. The core computational algorithms are implemented using the 'Eigen' 'C++' library for numerical linear algebra and 'RcppEigen' 'glue'.
Maintained by Giovanny Covarrubias-Pazaran. Last updated 1 months ago.
5 stars 5.15 score 7 scripts
spkaluzny
splusTimeDate:Times and Dates from 'S-PLUS'
A collection of classes and methods for working with times and dates. The code was originally available in 'S-PLUS'.
Maintained by Stephen Kaluzny. Last updated 2 months ago.
4.94 score 58 scripts 2 dependentsflr
FLash:Forecasting and Projection of Fish Stocks
Projecting the future dynamics of fish stocks is an essential part of fisheries science and management advice. The FLash package carries out forecasts of fish stocks (FLStock objects) according to a defined table of targets and limits (fwdControl) and applying and specified stock-recruitment relationship.
Maintained by Laurence T. Kell. Last updated 4 months ago.
4.92 score 186 scripts 1 dependents
tpetzoldt
simecol:Simulation of Ecological (and Other) Dynamic Systems
An object oriented framework to simulate ecological (and other) dynamic systems. It can be used for differential equations, individual-based (or agent-based) and other models as well. It supports structuring of simulation scenarios (to avoid copy and paste) and aims to improve readability and re-usability of code.
Maintained by Thomas Petzoldt. Last updated 8 months ago.
4.76 score 190 scriptsbioc
BiocSet:Representing Different Biological Sets
BiocSet displays different biological sets in a triple tibble format. These three tibbles are `element`, `set`, and `elementset`. The user has the abilty to activate one of these three tibbles to perform common functions from the dplyr package. Mapping functionality and accessing web references for elements/sets are also available in BiocSet.
Maintained by Kayla Morrell. Last updated 5 months ago.
4.58 score 32 scripts 2 dependentsbioc
XDE:XDE: a Bayesian hierarchical model for cross-study analysis of differential gene expression
Multi-level model for cross-study detection of differential gene expression.
Maintained by Robert Scharpf. Last updated 5 months ago.
microarraydifferentialexpressioncpp
4.20 score 10 scriptsbioc
ATACseqTFEA:Transcription Factor Enrichment Analysis for ATAC-seq
Assay for Transpose-Accessible Chromatin using sequencing (ATAC-seq) is a technique to assess genome-wide chromatin accessibility by probing open chromatin with hyperactive mutant Tn5 Transposase that inserts sequencing adapters into open regions of the genome. ATACseqTFEA is an improvement of the current computational method that detects differential activity of transcription factors (TFs). ATACseqTFEA not only uses the difference of open region information, but also (or emphasizes) the difference of TFs footprints (cutting sites or insertion sites). ATACseqTFEA provides an easy, rigorous way to broadly assess TF activity changes between two conditions.
Maintained by Jianhong Ou. Last updated 3 months ago.
sequencingdnaseqatacseqmnaseseqgeneregulation
1 stars 4.18 score 4 scripts
geobosh
mcompanion:Objects and Methods for Multi-Companion Matrices
Provides a class for multi-companion matrices with methods for arithmetic and factorization. A method for generation of multi-companion matrices with prespecified spectral properties is provided, as well as some utilities for periodically correlated and multivariate time series models. See Boshnakov (2002) <doi:10.1016/S0024-3795(01)00475-X> and Boshnakov & Iqelan (2009) <doi:10.1111/j.1467-9892.2009.00617.x>.
Maintained by Georgi N. Boshnakov. Last updated 1 years ago.
eigen-vector-decompositionmatricesperiodictime-series
4.05 score 37 scripts 2 dependentsbioc
VCFArray:Representing on-disk / remote VCF files as array-like objects
VCFArray extends the DelayedArray to represent VCF data entries as array-like objects with on-disk / remote VCF file as backend. Data entries from VCF files, including info fields, FORMAT fields, and the fixed columns (REF, ALT, QUAL, FILTER) could be converted into VCFArray instances with different dimensions.
Maintained by Qian Liu. Last updated 5 months ago.
infrastructuredatarepresentationsequencingvariantannotation
1 stars 4.00 score 3 scriptsspkaluzny
splusTimeSeries:Time Series from 'S-PLUS'
A collection of classes and methods for working with indexed rectangular data. The index values can be calendar (timeSeries class) or numeric (signalSeries class). Methods are included for aggregation, alignment, merging, and summaries. The code was originally available in 'S-PLUS'.
Maintained by Stephen Kaluzny. Last updated 6 months ago.
3.95 score 20 scripts 1 dependentsr-forge
RobExtremes:Optimally Robust Estimation for Extreme Value Distributions
Optimally robust estimation for extreme value distributions using S4 classes and methods (based on packages 'distr', 'distrEx', 'distrMod', 'RobAStBase', and 'ROptEst'); the underlying theoretic results can be found in Ruckdeschel and Horbenko, (2013 and 2012), \doi{10.1080/02331888.2011.628022} and \doi{10.1007/s00184-011-0366-4}.
Maintained by Peter Ruckdeschel. Last updated 2 months ago.
3.67 score 39 scriptsbioc
chopsticks:The 'snp.matrix' and 'X.snp.matrix' Classes
Implements classes and methods for large-scale SNP association studies
Maintained by Hin-Tak Leung. Last updated 4 months ago.
microarraysnpsandgeneticvariabilitysnpgeneticvariability
3.48 score 5 scriptscran
spcosa:Spatial Coverage Sampling and Random Sampling from Compact Geographical Strata
Spatial coverage sampling and random sampling from compact geographical strata created by k-means. See Walvoort et al. (2010) <doi:10.1016/j.cageo.2010.04.005> for details.
Maintained by Dennis Walvoort. Last updated 2 years ago.
2 stars 3.48 score 1 dependents
dmurdoch
orientlib:Support for Orientation Data
Representations, conversions and display of orientation SO(3) data. See the orientlib help topic for details.
Maintained by Duncan Murdoch. Last updated 2 years ago.
1 stars 3.31 score 20 scripts
mariushofert
simsalapar:Tools for Simulation Studies in Parallel
Tools for setting up ("design"), conducting, and evaluating large-scale simulation studies with graphics and tables, including parallel computations.
Maintained by Marius Hofert. Last updated 2 years ago.
2 stars 2.91 score 67 scripts 2 dependentscran
arulesSequences:Mining Frequent Sequences
Add-on for arules to handle and mine frequent sequences. Provides interfaces to the C++ implementation of cSPADE by Mohammed J. Zaki.
Maintained by Christian Buchta. Last updated 7 months ago.
12 stars 2.63 score
roustant
kergp:Gaussian Process Laboratory
Gaussian process regression with an emphasis on kernels. Quantitative and qualitative inputs are accepted. Some pre-defined kernels are available, such as radial or tensor-sum for quantitative inputs, and compound symmetry, low rank, group kernel for qualitative inputs. The user can define new kernels and composite kernels through a formula mechanism. Useful methods include parameter estimation by maximum likelihood, simulation, prediction and leave-one-out validation.
Maintained by Olivier Roustant. Last updated 4 months ago.
1 stars 1.83 score 67 scriptscran
essentials:Essential Functions not Included in Base R
Functions for converting objects to scalars (vectors of length 1) and a more inclusive definition of data that can be interpreted as numbers (numeric and complex alike).
Maintained by Andrew Simmons. Last updated 4 years ago.
1.00 score