Showing 29 of total 29 results (show query)
rpahl
container:Extending Base 'R' Lists
Extends the functionality of base 'R' lists and provides specialized data structures 'deque', 'set', 'dict', and 'dict.table', the latter to extend the 'data.table' package.
Maintained by Roman Pahl. Last updated 2 months ago.
containerdata-structuresdequedictsets
48.2 match 16 stars 7.13 score 140 scripts
lwheinsberg
dbGaPCheckup:dbGaP Checkup
Contains functions that check for formatting of the Subject Phenotype data set and data dictionary as specified by the National Center for Biotechnology Information (NCBI) Database of Genotypes and Phenotypes (dbGaP) <https://www.ncbi.nlm.nih.gov/gap/docs/submissionguide/>.
Maintained by Lacey W. Heinsberg. Last updated 1 years ago.
70.1 match 4 stars 4.86 score 18 scripts
five-dots
Dict:R6 Based Key-Value Dictionary Implementation
A key-value dictionary data structure based on R6 class which is designed to be similar usages with other languages dictionary (e.g. 'Python') with reference semantics and extendabilities by R6.
Maintained by Shun Asai. Last updated 3 years ago.
61.6 match 4 stars 4.85 score 358 scripts
rstudio
reticulate:Interface to 'Python'
Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Maintained by Tomasz Kalinowski. Last updated 10 hours ago.
3.3 match 1.7k stars 21.07 score 18k scripts 427 dependents
randy3k
collections:High Performance Container Data Types
Provides high performance container data types such as queues, stacks, deques, dicts and ordered dicts. Benchmarks <https://randy3k.github.io/collections/articles/benchmark.html> have shown that these containers are asymptotically more efficient than those offered by other packages.
Maintained by Randy Lai. Last updated 2 years ago.
7.4 match 104 stars 9.14 score 215 scripts 27 dependentsrstudio
tensorflow:R Interface to 'TensorFlow'
Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
Maintained by Tomasz Kalinowski. Last updated 14 days ago.
3.3 match 1.3k stars 15.35 score 3.2k scripts 74 dependents
lrberge
fixest:Fast Fixed-Effects Estimations
Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial. The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Berge (2018) <https://github.com/lrberge/fixest/blob/master/_DOCS/FENmlm_paper.pdf>. Further provides tools to export and view the results of several estimations with intuitive design to cluster the standard-errors.
Maintained by Laurent Berge. Last updated 7 months ago.
3.0 match 387 stars 14.69 score 3.8k scripts 25 dependents
mlverse
torch:Tensors and Neural Networks with 'GPU' Acceleration
Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <doi:10.48550/arXiv.1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
Maintained by Daniel Falbel. Last updated 5 days ago.
1.9 match 520 stars 16.52 score 1.4k scripts 38 dependents
rstudio
keras3:R Interface to 'Keras'
Interface to 'Keras' <https://keras.io>, a high-level neural networks API. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both CPU and GPU devices.
Maintained by Tomasz Kalinowski. Last updated 3 days ago.
1.8 match 845 stars 13.57 score 264 scripts 2 dependents
miserman
lingmatch:Linguistic Matching and Accommodation
Measure similarity between texts. Offers a variety of processing tools and similarity metrics to facilitate flexible representation of texts and matching. Implements forms of Language Style Matching (Ireland & Pennebaker, 2010) <doi:10.1037/a0020386> and Latent Semantic Analysis (Landauer & Dumais, 1997) <doi:10.1037/0033-295X.104.2.211>.
Maintained by Micah Iserman. Last updated 25 days ago.
4.5 match 11 stars 4.80 score 23 scripts
qinwf
jiebaR:Chinese Text Segmentation
Chinese text segmentation, keyword extraction and speech tagging For R.
Maintained by Qin Wenfeng. Last updated 5 years ago.
chinesechinese-text-segmentationcppjiebajiebalexical-analysisnlpcpp
2.0 match 348 stars 10.18 score 456 scripts 6 dependents
f0nzie
rTorch:R Bindings to 'PyTorch'
'R' implementation and interface of the Machine Learning platform 'PyTorch' <https://pytorch.org/> developed in 'Python'. It requires a 'conda' environment with 'torch' and 'torchvision' Python packages to provide 'PyTorch' functions, methods and classes. The key object in 'PyTorch' is the tensor which is in essence a multidimensional array. These tensors are fairly flexible in performing calculations in CPUs as well as 'GPUs' to accelerate tensor operations.
Maintained by Alfonso R. Reyes. Last updated 3 years ago.
3.3 match 6 stars 5.97 score 157 scripts
bioc
peco:A Supervised Approach for **P**r**e**dicting **c**ell Cycle Pr**o**gression using scRNA-seq data
Our approach provides a way to assign continuous cell cycle phase using scRNA-seq data, and consequently, allows to identify cyclic trend of gene expression levels along the cell cycle. This package provides method and training data, which includes scRNA-seq data collected from 6 individual cell lines of induced pluripotent stem cells (iPSCs), and also continuous cell cycle phase derived from FUCCI fluorescence imaging data.
Maintained by Chiaowen Joyce Hsiao. Last updated 5 months ago.
sequencingrnaseqgeneexpressiontranscriptomicssinglecellsoftwarestatisticalmethodclassificationvisualizationcell-cyclesingle-cell-rna-seq
2.7 match 12 stars 6.09 score 34 scripts
jonclayden
ore:An R Interface to the Onigmo Regular Expression Library
Provides an alternative to R's built-in functionality for handling regular expressions, based on the Onigmo library. Offers first-class compiled regex objects, partial matching and function-based substitutions, amongst other features.
Maintained by Jon Clayden. Last updated 14 hours ago.
regexregular-expressionstext-analysis
2.3 match 58 stars 7.16 score 125 scripts 6 dependents
oliver-wyman-actuarial
easyr:Helpful Functions from Oliver Wyman Actuarial Consulting
Makes difficult operations easy. Includes these types of functions: shorthand, type conversion, data wrangling, and work flow. Also includes some helpful data objects: NA strings, U.S. state list, color blind charting colors. Built and shared by Oliver Wyman Actuarial Consulting. Accepting proposed contributions through GitHub.
Maintained by Bryce Chamberlain. Last updated 1 years ago.
3.3 match 20 stars 4.86 score 18 scripts
melff
RKernel:Yet another R kernel for Jupyter
Provides a kernel for Jupyter.
Maintained by Martin Elff. Last updated 13 days ago.
jupyterjupyter-kerneljupyter-kernelsjupyter-notebook
3.3 match 38 stars 4.60 score
dyfanjones
sagemaker.core:Sagemaker core classes, methods and functions
Contains core classes, methods and functions that support `AWS Sagemaker R Software Development Kit (SDK)`.
Maintained by Dyfan Jones. Last updated 3 years ago.
amazon-sagemakerawsmachine-learningsagemakersdk
4.3 match 2.88 score 1 scripts 5 dependentsdyfanjones
sagemaker.workflow:sagemaker pipeline and workflows
`sagemaker` pipeline and workflows.
Maintained by Dyfan Jones. Last updated 3 years ago.
5.1 match 2.18 score 1 dependents
florianjansen
vegdata:Access Vegetation Databases and Treat Taxonomy
Handling of vegetation data from different sources ( Turboveg 2.0 <https://www.synbiosys.alterra.nl/turboveg/>; the German national repository <https://www.vegetweb.de> and others. Taxonomic harmonization (given appropriate taxonomic lists, e.g. the German taxonomic standard list "GermanSL", <https://germansl.infinitenature.org>).
Maintained by Florian Jansen. Last updated 1 years ago.
2.3 match 2 stars 3.84 score 38 scripts 3 dependentsbioc
stJoincount:stJoincount - Join count statistic for quantifying spatial correlation between clusters
stJoincount facilitates the application of join count analysis to spatial transcriptomic data generated from the 10x Genomics Visium platform. This tool first converts a labeled spatial tissue map into a raster object, in which each spatial feature is represented by a pixel coded by label assignment. This process includes automatic calculation of optimal raster resolution and extent for the sample. A neighbors list is then created from the rasterized sample, in which adjacent and diagonal neighbors for each pixel are identified. After adding binary spatial weights to the neighbors list, a multi-categorical join count analysis is performed to tabulate "joins" between all possible combinations of label pairs. The function returns the observed join counts, the expected count under conditions of spatial randomness, and the variance calculated under non-free sampling. The z-score is then calculated as the difference between observed and expected counts, divided by the square root of the variance.
Maintained by Jiarong Song. Last updated 5 months ago.
transcriptomicsclusteringspatialbiocviewssoftware
1.9 match 4 stars 4.60 score 3 scripts
fcampelo
CALANGO:Comparative Analysis with Annotation-Based Genomic Components
A first-principle, phylogeny-aware comparative genomics tool for investigating associations between terms used to annotate genomic components (e.g., Pfam IDs, Gene Ontology terms,) with quantitative or rank variables such as number of cell types, genome size, or density of specific genomic elements. See the project website for more information, documentation and examples, and <doi:10.1016/j.patter.2023.100728> for the full paper.
Maintained by Felipe Campelo. Last updated 6 months ago.
1.5 match 2 stars 4.60 score 4 scripts
jofrhwld
syllabifyr:Syllabifier for CMU Dictionary Transcriptions
Implements tidy syllabification of transcription. Based on @kylebgorman's 'python' implementation <https://github.com/kylebgorman/syllabify>.
Maintained by Josef Fruehwald. Last updated 1 years ago.
2.0 match 4 stars 3.30 score 6 scripts
selva86
spellcheckr:Correct the Spelling of a Given Word in the English Language
Corrects the spelling of a given word in English using a modification of Peter Norvig's spell correct algorithm (see <http://norvig.com/spell-correct.html>) which handles up to three edits. The algorithm tries to find the spelling with maximum probability of intended correction out of all possible candidate corrections from the original word.
Maintained by Selva Prabhakaran. Last updated 8 years ago.
6.6 match 1.00 score 4 scripts
cran
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 8 months ago.
0.5 match 2 stars 8.13 score 1.0k dependents
nschuwirth
ecoval:Procedures for Ecological Assessment of Surface Waters
Functions for evaluating and visualizing ecological assessment procedures for surface waters containing physical, chemical and biological assessments in the form of value functions.
Maintained by Nele Schuwirth. Last updated 3 years ago.
2.3 match 1.34 score 22 scriptscran
MultiplierDEA:Multiplier Data Envelopment Analysis and Cross Efficiency
Functions are provided for calculating efficiency using multiplier DEA (Data Envelopment Analysis): Measuring the efficiency of decision making units (Charnes et al., 1978 <doi:10.1016/0377-2217(78)90138-8>) and cross efficiency using single and two-phase approach. In addition, it includes some datasets for calculating efficiency and cross efficiency.
Maintained by Aurobindh Kalathil Puthanpura. Last updated 3 years ago.
2.3 match 1 stars 1.00 scorecran
tidytidbits:A Collection of Tools and Helpers Extending the Tidyverse
A selection of various tools to extend a data analysis workflow based on the 'tidyverse' packages. This includes high-level data frame editing methods (in the style of 'mutate'/'mutate_at'), some methods in the style of 'purrr' and 'forcats', 'lookup' methods for dict-like lists, a generic method for lumping a data frame by a given count, various low-level methods for special treatment of 'NA' values, 'python'-style tuple-assignment and 'truthy'/'falsy' checks, saving to PDF and PNG from a pipe and various small utilities.
Maintained by Marcel Wiesweg. Last updated 3 years ago.
0.5 match 2.48 score 2 dependents