Showing 52 of total 52 results (show query)
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 11 hours ago.
59.8 match 1.7k stars 21.07 score 18k scripts 427 dependents
r-lib
coro:'Coroutines' for R
Provides 'coroutines' for R, a family of functions that can be suspended and resumed later on. This includes 'async' functions (which await) and generators (which yield). 'Async' functions are based on the concurrency framework of the 'promises' package. Generators are based on a dependency free iteration protocol defined in 'coro' and are compatible with iterators from the 'reticulate' package.
Maintained by Lionel Henry. Last updated 19 days ago.
asynccoroutinesgeneratoriteratorpromisesreticulate
10.5 match 166 stars 11.88 score 105 scripts 50 dependents
vegawidget
altair:Interface to 'Altair'
Interface to 'Altair' <https://altair-viz.github.io>, which itself is a 'Python' interface to 'Vega-Lite' <https://vega.github.io/vega-lite/>. This package uses the 'Reticulate' framework <https://rstudio.github.io/reticulate/> to manage the interface between R and 'Python'.
Maintained by Ian Lyttle. Last updated 1 years ago.
altairinteractivereticulatevega-litevisualization
10.8 match 91 stars 6.94 score 23 scripts 1 dependents
midasverse
rMIDAS:Multiple Imputation with Denoising Autoencoders
A tool for multiply imputing missing data using 'MIDAS', a deep learning method based on denoising autoencoder neural networks. This algorithm offers significant accuracy and efficiency advantages over other multiple imputation strategies, particularly when applied to large datasets with complex features. Alongside interfacing with 'Python' to run the core algorithm, this package contains functions for processing data before and after model training, running imputation model diagnostics, generating multiple completed datasets, and estimating regression models on these datasets.
Maintained by Thomas Robinson. Last updated 1 years ago.
deep-learningimputation-methodsneural-networkreticulatetensorflow
10.0 match 34 stars 6.53 score 33 scripts
terrytangyuan
scaffolder:Scaffolding Interfaces to Packages in Other Programming Languages
Comprehensive set of tools for scaffolding R interfaces to modules, classes, functions, and documentations written in other programming languages, such as 'Python'.
Maintained by Yuan Tang. Last updated 2 years ago.
code-generationpythonreticulatescaffolding
10.0 match 27 stars 6.13 score 9 scripts
mlampros
fuzzywuzzyR:Fuzzy String Matching
Fuzzy string matching implementation of the 'fuzzywuzzy' <https://github.com/seatgeek/fuzzywuzzy> 'python' package. It uses the Levenshtein Distance <https://en.wikipedia.org/wiki/Levenshtein_distance> to calculate the differences between sequences.
Maintained by Lampros Mouselimis. Last updated 2 years ago.
fuzzywuzzymatchingpythonreticulatestring
10.0 match 37 stars 5.87 score 40 scriptsmlampros
nmslibR:Non Metric Space (Approximate) Library
A Non-Metric Space Library ('NMSLIB' <https://github.com/nmslib/nmslib>) wrapper, which according to the authors "is an efficient cross-platform similarity search library and a toolkit for evaluation of similarity search methods. The goal of the 'NMSLIB' <https://github.com/nmslib/nmslib> Library is to create an effective and comprehensive toolkit for searching in generic non-metric spaces. Being comprehensive is important, because no single method is likely to be sufficient in all cases. Also note that exact solutions are hardly efficient in high dimensions and/or non-metric spaces. Hence, the main focus is on approximate methods". The wrapper also includes Approximate Kernel k-Nearest-Neighbor functions based on the 'NMSLIB' <https://github.com/nmslib/nmslib> 'Python' Library.
Maintained by Lampros Mouselimis. Last updated 2 years ago.
approximate-nearest-neighbor-searchnmslibnon-metricpythonreticulatecppopenmp
10.0 match 12 stars 5.14 score 23 scripts
nanxstats
ssw:Striped Smith-Waterman Algorithm for Sequence Alignment using SIMD
Provides an R interface for 'SSW' (Striped Smith-Waterman) via its 'Python' binding 'ssw-py'. 'SSW' is a fast 'C' and 'C++' implementation of the Smith-Waterman algorithm for pairwise sequence alignment using Single-Instruction-Multiple-Data (SIMD) instructions. 'SSW' enhances the standard algorithm by efficiently returning alignment information and suboptimal alignment scores. The core 'SSW' library offers performance improvements for various bioinformatics tasks, including protein database searches, short-read alignments, primary and split-read mapping, structural variant detection, and read-overlap graph generation. These features make 'SSW' particularly useful for genomic applications. Zhao et al. (2013) <doi:10.1371/journal.pone.0082138> developed the original 'C' and 'C++' implementation.
Maintained by Nan Xiao. Last updated 6 months ago.
bioinformaticsreticulatesequence-alignmentsimdsmith-waterman
10.0 match 5 stars 5.10 scoremlampros
GeoMongo:Geospatial Queries Using 'PyMongo'
Utilizes methods of the 'PyMongo' 'Python' library to initialize, insert and query 'GeoJson' data (see <https://github.com/mongodb/mongo-python-driver> for more information on 'PyMongo'). Furthermore, it allows the user to validate 'GeoJson' objects and to use the console for 'MongoDB' (bulk) commands. The 'reticulate' package provides the 'R' interface to 'Python' modules, classes and functions.
Maintained by Lampros Mouselimis. Last updated 2 years ago.
geojsonmongodbpymongoreticulate
10.5 match 5 stars 4.51 score 13 scripts
tomkellygenetics
leiden:R Implementation of Leiden Clustering Algorithm
Implements the 'Python leidenalg' module to be called in R. Enables clustering using the leiden algorithm for partition a graph into communities. See the 'Python' repository for more details: <https://github.com/vtraag/leidenalg> Traag et al (2018) From Louvain to Leiden: guaranteeing well-connected communities. <arXiv:1810.08473>.
Maintained by S. Thomas Kelly. Last updated 10 months ago.
4.9 match 38 stars 8.90 score 180 scripts 3 dependents
apache
arrow:Integration to 'Apache' 'Arrow'
'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Maintained by Jonathan Keane. Last updated 1 months ago.
1.9 match 15k stars 19.22 score 10k scripts 81 dependents
eddelbuettel
RcppCNPy:Read-Write Support for 'NumPy' Files via 'Rcpp'
The 'cnpy' library written by Carl Rogers provides read and write facilities for files created with (or for) the 'NumPy' extension for 'Python'. Vectors and matrices of numeric types can be read or written to and from files as well as compressed files. Support for integer files is available if the package has been built with as C++11 which should be the default on all platforms since the release of R 3.3.0.
Maintained by Dirk Eddelbuettel. Last updated 8 hours ago.
3.8 match 27 stars 8.38 score 448 scripts
ncss-tech
rosettaPTF:R Frontend for Rosetta Pedotransfer Functions
Access Python rosetta-soil pedotransfer functions in an R environment. Rosetta is a neural network-based model for predicting unsaturated soil hydraulic parameters from basic soil characterization data. The model predicts parameters for the van Genuchten unsaturated soil hydraulic properties model, using sand, silt, and clay, bulk density and water content. The codebase is now maintained by Dr. Todd Skaggs and other U.S. Department of Agriculture employees. This R package is intended to provide for use cases that involve many thousands of calls to the pedotransfer function. Less demanding use cases are encouraged to use the web interface or API endpoint. There are additional wrappers of the API endpoints provided by the soilDB R package `ROSETTA()` method.
Maintained by Andrew G. Brown. Last updated 2 months ago.
hydraulichydrologyksatpedotransferpythonreticulaterosettasoil
10.0 match 8 stars 2.90 score 8 scripts
jjustison
SiPhyNetwork:A Phylogenetic Simulator for Reticulate Evolution
A simulator for reticulate evolution under a birth-death-hybridization process. Here the birth-death process is extended to consider reticulate Evolution by allowing hybridization events to occur. The general purpose simulator allows the modeling of three different reticulate patterns: lineage generative hybridization, lineage neutral hybridization, and lineage degenerative hybridization. Users can also specify hybridization events to be dependent on a trait value or genetic distance. We also extend some phylogenetic tree utility and plotting functions for networks. We allow two different stopping conditions: simulated to a fixed time or number of taxa. When simulating to a fixed number of taxa, the user can simulate under the Generalized Sampling Approach that properly simulates phylogenies when assuming a uniform prior on the root age.
Maintained by Joshua Justison. Last updated 6 months ago.
4.0 match 11 stars 5.25 score 16 scripts
foucher-y
survivalmodels:Models for Survival Analysis
Implementations of classical and machine learning models for survival analysis, including deep neural networks via 'keras' and 'tensorflow'. Each model includes a separated fit and predict interface with consistent prediction types for predicting risk or survival probabilities. Models are either implemented from 'Python' via 'reticulate' <https://CRAN.R-project.org/package=reticulate>, from code in GitHub packages, or novel implementations using 'Rcpp' <https://CRAN.R-project.org/package=Rcpp>. Neural networks are implemented from the 'Python' package 'pycox' <https://github.com/havakv/pycox>.
Maintained by Yohann Foucher. Last updated 12 months ago.
4.8 match 4.08 score 40 scripts
fmichonneau
phylobase:Base Package for Phylogenetic Structures and Comparative Data
Provides a base S4 class for comparative methods, incorporating one or more trees and trait data.
Maintained by Francois Michonneau. Last updated 1 years ago.
1.7 match 18 stars 11.14 score 394 scripts 18 dependents
dankelley
oce:Analysis of Oceanographic Data
Supports the analysis of Oceanographic data, including 'ADCP' measurements, measurements made with 'argo' floats, 'CTD' measurements, sectional data, sea-level time series, coastline and topographic data, etc. Provides specialized functions for calculating seawater properties such as potential temperature in either the 'UNESCO' or 'TEOS-10' equation of state. Produces graphical displays that conform to the conventions of the Oceanographic literature. This package is discussed extensively by Kelley (2018) "Oceanographic Analysis with R" <doi:10.1007/978-1-4939-8844-0>.
Maintained by Dan Kelley. Last updated 8 days ago.
1.1 match 146 stars 15.45 score 4.2k scripts 18 dependents
predictiveecology
CBMutils:Utilities for modelling carbon based on CBM-CFS3
Implementation of several components of the Carbon Budget Model of the Canadian Forest Service (v3).
Maintained by Alex M Chubaty. Last updated 9 hours ago.
3.9 match 4.51 score 3 scripts
carlos-alberto-silva
ICESat2VegR:NASA's Ice, Cloud, and Elevation Satellite (ICESat-2) Data Analysis for Land and Vegetation Applications
Set of tools for downloading, reading, visualizing, processing and exporting NASA's ICESat-2 ATL03 (Global Geolocated Photon Data) and ATL08 (Land and Vegetation Height) products for Land and Vegetation Applications.
Maintained by Caio Hamamura. Last updated 6 months ago.
3.5 match 11 stars 4.57 score 21 scripts
oscarkjell
text:Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning
Link R with Transformers from Hugging Face to transform text variables to word embeddings; where the word embeddings are used to statistically test the mean difference between set of texts, compute semantic similarity scores between texts, predict numerical variables, and visual statistically significant words according to various dimensions etc. For more information see <https://www.r-text.org>.
Maintained by Oscar Kjell. Last updated 2 days ago.
deep-learningmachine-learningnlptransformersopenjdk
1.2 match 146 stars 13.16 score 436 scripts 1 dependents
bioc
tanggle:Visualization of Phylogenetic Networks
Offers functions for plotting split (or implicit) networks (unrooted, undirected) and explicit networks (rooted, directed) with reticulations extending. 'ggtree' and using functions from 'ape' and 'phangorn'. It extends the 'ggtree' package [@Yu2017] to allow the visualization of phylogenetic networks using the 'ggplot2' syntax. It offers an alternative to the plot functions already available in 'ape' Paradis and Schliep (2019) <doi:10.1093/bioinformatics/bty633> and 'phangorn' Schliep (2011) <doi:10.1093/bioinformatics/btq706>.
Maintained by Klaus Schliep. Last updated 5 months ago.
softwarevisualizationphylogeneticsalignmentclusteringmultiplesequencealignmentdataimport
2.3 match 11 stars 6.40 score 38 scripts
ohdsi
PatientLevelPrediction:Develop Clinical Prediction Models Using the Common Data Model
A user friendly way to create patient level prediction models using the Observational Medical Outcomes Partnership Common Data Model. Given a cohort of interest and an outcome of interest, the package can use data in the Common Data Model to build a large set of features. These features can then be used to fit a predictive model with a number of machine learning algorithms. This is further described in Reps (2017) <doi:10.1093/jamia/ocy032>.
Maintained by Egill Fridgeirsson. Last updated 7 days ago.
1.3 match 190 stars 10.85 score 297 scriptsbioc
BiocSklearn:interface to python sklearn via Rstudio reticulate
This package provides interfaces to selected sklearn elements, and demonstrates fault tolerant use of python modules requiring extensive iteration.
Maintained by Vince Carey. Last updated 5 months ago.
statisticalmethoddimensionreductioninfrastructure
2.9 match 4.34 score 11 scripts
jimduggan
pysd2r:API to 'Python' Library 'pysd'
Using the R package 'reticulate', this package creates an interface to the 'pysd' toolset. The package provides an R interface to a number of 'pysd' functions, and can read files in 'Vensim' 'mdl' format, and 'xmile' format. The resulting simulations are returned as a 'tibble', and from that the results can be processed using 'dplyr' and 'ggplot2'. The package has been tested using 'python3'.
Maintained by Jim Duggan. Last updated 6 years ago.
2.3 match 12 stars 5.32 score 35 scripts
scasanova
f1dataR:Access Formula 1 Data
Obtain Formula 1 data via the 'Jolpica API' <https://jolpi.ca> and the unofficial API <https://www.formula1.com/en/timing/f1-live> via the 'fastf1' 'Python' library <https://docs.fastf1.dev/>.
Maintained by Santiago Casanova. Last updated 14 days ago.
1.5 match 58 stars 7.96 score 26 scriptsbioc
CRISPRseek:Design of guide RNAs in CRISPR genome-editing systems
The package encompasses functions to find potential guide RNAs for the CRISPR-based genome-editing systems including the Base Editors and the Prime Editors when supplied with target sequences as input. Users have the flexibility to filter resulting guide RNAs based on parameters such as the absence of restriction enzyme cut sites or the lack of paired guide RNAs. The package also facilitates genome-wide exploration for off-targets, offering features to score and rank off-targets, retrieve flanking sequences, and indicate whether the hits are located within exon regions. All detected guide RNAs are annotated with the cumulative scores of the top5 and topN off-targets together with the detailed information such as mismatch sites and restrictuion enzyme cut sites. The package also outputs INDELs and their frequencies for Cas9 targeted sites.
Maintained by Lihua Julie Zhu. Last updated 5 days ago.
immunooncologygeneregulationsequencematchingcrispr
1.6 match 7.18 score 51 scripts 2 dependents
wkumler
RaMS:R Access to Mass-Spec Data
R-based access to mass-spectrometry (MS) data. While many packages exist to process MS data, many of these make it difficult to access the underlying mass-to-charge ratio (m/z), intensity, and retention time of the files themselves. This package is designed to format MS data in a tidy fashion and allows the user perform the plotting and analysis.
Maintained by William Kumler. Last updated 5 months ago.
mass-spectrometry-datatidy-data
1.3 match 24 stars 8.78 score 84 scripts 5 dependentsbioc
BiocHail:basilisk and hail
Use hail via basilisk when appropriate, or via reticulate. This package can be used in terra.bio to interact with UK Biobank resources processed by hail.is.
Maintained by Vincent Carey. Last updated 4 months ago.
infrastructurebioconductorgeneticshail
2.3 match 6 stars 4.53 score 19 scripts
rogiersbart
rui:A simple set of UI functions
This package provides a wrapper around different cli and usethis functions, aiming at providing a small but consistent set of verbs to construct a simple R package UI.
Maintained by Bart Rogiers. Last updated 9 months ago.
1.8 match 3.48 score 2 dependents
labo-lacourse
stepmixr:Interface to 'Python' Package 'StepMix'
This is an interface for the 'Python' package 'StepMix'. It is a 'Python' package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. 'StepMix' handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods based on pseudolikelihood theory. Additional features include support for covariates and distal outcomes, various simulation utilities, and non-parametric bootstrapping, which allows inference in semi-supervised and unsupervised settings.
Maintained by Charles-Édouard Giguère. Last updated 10 months ago.
1.7 match 1 stars 3.48 score 5 scripts
henrikbengtsson
marshal:Framework to Marshal Objects to be Used in Another R Process
Some types of R objects can be used only in the R session they were created. If used as-is in another R process, such objects often result in an immediate error or in obscure and hard-to-troubleshoot outcomes. Because of this, they cannot be saved to file and re-used at a later time. They can also not be exported to a worker in parallel processing. These objects are sometimes referred to as non-exportable or non-serializable objects. One solution to this problem is to use "marshalling" to encode the R object into an exportable representation that then can be used to re-create a copy of that object in another R process. This package provides a framework for marshalling and unmarshalling R objects such that they can be transferred using functions such as serialize() and unserialize() of base R.
Maintained by Henrik Bengtsson. Last updated 1 years ago.
marshallingparallelserialization
1.9 match 14 stars 3.10 score 18 scripts
futureverse
marshal:Framework to Marshal Objects to be Used in Another R Process
Some types of R objects can be used only in the R session they were created. If used as-is in another R process, such objects often result in an immediate error or in obscure and hard-to-troubleshoot outcomes. Because of this, they cannot be saved to file and re-used at a later time. They can also not be exported to a worker in parallel processing. These objects are sometimes referred to as non-exportable or non-serializable objects. One solution to this problem is to use "marshalling" to encode the R object into an exportable representation that then can be used to re-create a copy of that object in another R process. This package provides a framework for marshalling and unmarshalling R objects such that they can be transferred using functions such as serialize() and unserialize() of base R.
Maintained by Henrik Bengtsson. Last updated 1 years ago.
marshallingparallelserialization
1.9 match 14 stars 3.10 score 18 scripts
dominodatalab
DominoDataR:'Domino Data R SDK'
A wrapper on top of the 'Domino Data Python SDK' library. It lets you query and access 'Domino Data Sources' directly from your R environment. Under the hood, 'Domino Data R SDK' leverages the API provided by the 'Domino Data Python SDK', which must be installed as a prerequisite. 'Domino' is a platform that makes it easy to run your code on scalable hardware, with integrated version control and collaboration features designed for analytical workflows. See <https://docs.dominodatalab.com/en/latest/api_guide/140b48/domino-data-api> for more information.
Maintained by Gabriel Haim. Last updated 9 days ago.
1.7 match 3.40 score 2 scripts
dynverse
anndata:'anndata' for R
A 'reticulate' wrapper for the Python package 'anndata'. Provides a scalable way of keeping track of data and learned annotations. Used to read from and write to the h5ad file format.
Maintained by Robrecht Cannoodt. Last updated 10 days ago.
0.5 match 44 stars 9.47 score 772 scripts 3 dependents
insightsengineering
sasr:'SAS' Interface
Provides a 'SAS' interface, through 'SASPy'(<https://sassoftware.github.io/saspy/>) and 'reticulate'(<https://rstudio.github.io/reticulate/>). This package helps you create 'SAS' sessions, execute 'SAS' code in remote 'SAS' servers, retrieve execution results and log, and exchange datasets between 'SAS' and 'R'. It also helps you to install 'SASPy' and create a configuration file for the connection. Please review the 'SASPy' license file as instructed so that you comply with its separate and independent license.
Maintained by Liming Li. Last updated 2 years ago.
0.8 match 15 stars 5.90 score 21 scripts
theoreticalecology
sjSDM:Scalable Joint Species Distribution Modeling
A scalable and fast method for estimating joint Species Distribution Models (jSDMs) for big community data, including eDNA data. The package estimates a full (i.e. non-latent) jSDM with different response distributions (including the traditional multivariate probit model). The package allows to perform variation partitioning (VP) / ANOVA on the fitted models to separate the contribution of environmental, spatial, and biotic associations. In addition, the total R-squared can be further partitioned per species and site to reveal the internal metacommunity structure, see Leibold et al., <doi:10.1111/oik.08618>. The internal structure can then be regressed against environmental and spatial distinctiveness, richness, and traits to analyze metacommunity assembly processes. The package includes support for accounting for spatial autocorrelation and the option to fit responses using deep neural networks instead of a standard linear predictor. As described in Pichler & Hartig (2021) <doi:10.1111/2041-210X.13687>, scalability is achieved by using a Monte Carlo approximation of the joint likelihood implemented via 'PyTorch' and 'reticulate', which can be run on CPUs or GPUs.
Maintained by Maximilian Pichler. Last updated 22 days ago.
deep-learninggpu-accelerationmachine-learningspecies-distribution-modellingspecies-interactions
0.5 match 69 stars 7.64 score 70 scripts
xudonghan-bio
scapGNN:Graph Neural Network-Based Framework for Single Cell Active Pathways and Gene Modules Analysis
It is a single cell active pathway analysis tool based on the graph neural network (F. Scarselli (2009) <doi:10.1109/TNN.2008.2005605>; Thomas N. Kipf (2017) <arXiv:1609.02907v4>) to construct the gene-cell association network, infer pathway activity scores from different single cell modalities data, integrate multiple modality data on the same cells into one pathway activity score matrix, identify cell phenotype activated gene modules and parse association networks of gene modules under multiple cell phenotype. In addition, abundant visualization programs are provided to display the results.
Maintained by Xudong Han. Last updated 2 years ago.
1.8 match 2.00 score 7 scripts
cachafla
validmind:Interface to the 'ValidMind' Platform
Deploy, execute, and analyze the results of models hosted on the 'ValidMind' platform <https://validmind.com>. This package interfaces with the 'Python' client library in order to allow advanced diagnostics and insight into trained models all from an 'R' environment.
Maintained by Andres Rodriguez. Last updated 4 months ago.
1.7 match 2.00 score 6 scripts
r-spatial
RPyGeo:ArcGIS Geoprocessing via Python
Provides access to ArcGIS geoprocessing tools by building an interface between R and the ArcPy Python side-package via the reticulate package.
Maintained by Alexander Brenning. Last updated 5 years ago.
0.5 match 29 stars 6.19 score 54 scripts
pharmpy
pharmr:Interface to the 'Pharmpy' 'Pharmacometrics' Library
Interface to the 'Pharmpy' 'pharmacometrics' library. The 'Reticulate' package is used to interface Python from R.
Maintained by Rikard Nordgren. Last updated 1 months ago.
0.6 match 21 stars 5.72 score 5 scripts
brownag
rgeedim:Search, Composite, and Download 'Google Earth Engine' Imagery with the 'Python' Module 'geedim'
Search, composite, and download 'Google Earth Engine' imagery with 'reticulate' bindings for the 'Python' module 'geedim' by Dugal Harris. Read the 'geedim' documentation here: <https://geedim.readthedocs.io/>. Wrapper functions are provided to make it more convenient to use 'geedim' to download images larger than the 'Google Earth Engine' size limit <https://developers.google.com/earth-engine/apidocs/ee-image-getdownloadurl>. By default the "High Volume" API endpoint <https://developers.google.com/earth-engine/cloud/highvolume> is used to download data and this URL can be customized during initialization of the package.
Maintained by Andrew Brown. Last updated 22 days ago.
geedimgeotiffgisgoogle-earth-enginepythonrasterremote-sensingsatellite-imageryspatialterra
0.5 match 48 stars 5.81 score 27 scriptsbioc
spatialDE:R wrapper for SpatialDE
SpatialDE is a method to find spatially variable genes (SVG) from spatial transcriptomics data. This package provides wrappers to use the Python SpatialDE library in R, using reticulate and basilisk.
Maintained by Gabriele Sales. Last updated 5 months ago.
softwaretranscriptomicspythonspatial-datawrapper
0.5 match 3 stars 4.76 score 16 scripts
pythonicr
strs:'Python' Style String Functions
A comprehensive set of string manipulation functions based on those found in 'Python' without relying on 'reticulate'. It provides functions that intend to (1) make it easier for users familiar with 'Python' to work with strings, (2) reduce the complexity often associated with string operations, (3) and enable users to write more readable and maintainable code that manipulates strings.
Maintained by Garrett Shipley. Last updated 2 months ago.
0.5 match 2 stars 3.90 score 5 scripts
ubcxzhang
DesignCTPB:Design Clinical Trials with Potential Biomarker Effect
Applying 'CUDA' 'GPUs' via 'Numba' for optimal clinical design. It allows the user to utilize a 'reticulate' 'Python' environment and run intensive Monte Carlo simulation to get the optimal cutoff for the clinical design with potential biomarker effect, which can guide the realistic clinical trials.
Maintained by Yitao Lu. Last updated 4 years ago.
0.5 match 1 stars 3.70 score 5 scripts
cran
XRPython:Structured Interface to 'Python'
A 'Python' interface structured according to the general form described in package 'XR' and in the book "Extending R".
Maintained by John Chambers. Last updated 7 years ago.
1.8 match 1.00 score
urswilke
pyramidi:Generate and Manipulate Midi Data in R Data Frames
Import the python libraries miditapyr and mido to read in midi file data in pandas DataFrames. These can then be imported in R via reticulate. The event-based midi data is widened to facilitate the manipulation and plotting of note-based structures as in music21. The data frame format allows for an easy implementation of many music data manipulations.
Maintained by Urs Wilke. Last updated 1 years ago.
0.5 match 8 stars 3.33 score 27 scriptspythonicr
re:'Python' Style Regular Expression Functions
A comprehensive set of regular expression functions based on those found in 'Python' without relying on 'reticulate'. It provides functions that intend to (1) make it easier for users familiar with 'Python' to work with regular expressions, (2) reduce the complexity often associated with regular expressions code, (3) and enable users to write more readable and maintainable code that relies on regular expression-based pattern matching.
Maintained by Garrett Shipley. Last updated 7 months ago.
0.5 match 1 stars 3.28 score 19 scripts
frankiethull
kantime:Nixtla's KAN Time Series Model In R
This package is a binding between Nixtla's neuralforecast Library, specifically KANs, and R's {modeltime} package. Nixtla's KAN is bound using {reticulate}, which is then ported into {parsnip} and bridged to {modeltime}.
Maintained by Frankie T. Hull. Last updated 3 months ago.
0.5 match 10 stars 3.00 score
kwb-r
kwb.python:R Package with Functions for Working with Python
R Package with functions for working with Python by enhancing the use of R package [reticulate](https://github.com/rstudio/reticulate).
Maintained by Michael Rustler. Last updated 3 years ago.
conda-exportenvironment-ymlproject-dwcproject-keyspython
0.8 match 1.70 score 1 scripts
jranke
chents:Chemical Entities as R Objects
Utilities for dealing with chemical entities and associated data as R objects. If Python and RDKit (> 2015.03) are installed and configured for use with 'reticulate', some basic chemoinformatics functions like the calculation of molecular weight and plotting of chemical structures in R graphics are available.
Maintained by Johannes Ranke. Last updated 3 months ago.
0.5 match 2 stars 2.78 score 2 scripts