Showing 17 of total 17 results (show query)
umr-amap
StormR:Analyzing the Behaviour of Wind Generated by Tropical Storms and Cyclones
Set of functions to quantify and map the behaviour of winds generated by tropical storms and cyclones in space and time. It includes functions to compute and analyze fields such as the maximum sustained wind field, power dissipation index and duration of exposure to winds above a given threshold. It also includes functions to map the trajectories as well as characteristics of the storms.
Maintained by Thomas Arsouze. Last updated 3 months ago.
cyclones-behaviourtropical-storms
13.9 match 14 stars 7.36 score 7 scripts
panukatan
bagyo:Philippine Tropical Cyclones Data
The Philippines frequently experiences tropical cyclones (called 'bagyo' in the Filipino language) because of its geographical position. These cyclones typically bring heavy rainfall, leading to widespread flooding, as well as strong winds that cause significant damage to human life, crops, and property. Data on cyclones are collected and curated by the Philippine Atmospheric, Geophysical, and Astronomical Services Administration or 'PAGASA' and made available through its website <https://bagong.pagasa.dost.gov.ph/tropical-cyclone/publications/annual-report>. This package contains Philippine tropical cyclones data in a machine-readable format. It is hoped that this data package provides an interesting and unique dataset for data exploration and visualisation.
Maintained by Ernest Guevarra. Last updated 8 months ago.
20.0 match 2 stars 5.00 score 6 scripts
ausclimateservice
TCHazaRds:Tropical Cyclone (Hurricane, Typhoon) Spatial Hazard Modelling
Methods for generating modelled parametric Tropical Cyclone (TC) spatial hazard fields and time series output at point locations from TC tracks. R's compatibility to simply use fast 'cpp' code via the 'Rcpp' package and the wide range spatial analysis tools via the 'terra' package makes it an attractive open source environment to study 'TCs'. This package estimates TC vortex wind and pressure fields using parametric equations originally coded up in 'python' by 'TCRM' <https://github.com/GeoscienceAustralia/tcrm> and then coded up in 'Cuda' 'cpp' by 'TCwindgen' <https://github.com/CyprienBosserelle/TCwindgen>.
Maintained by Julian OGrady. Last updated 2 months ago.
natural-hazardsrspatialtropical-cyclonecpp
17.7 match 4 stars 5.00 score
bioc
scran:Methods for Single-Cell RNA-Seq Data Analysis
Implements miscellaneous functions for interpretation of single-cell RNA-seq data. Methods are provided for assignment of cell cycle phase, detection of highly variable and significantly correlated genes, identification of marker genes, and other common tasks in routine single-cell analysis workflows.
Maintained by Aaron Lun. Last updated 5 months ago.
immunooncologynormalizationsequencingrnaseqsoftwaregeneexpressiontranscriptomicssinglecellclusteringbioconductor-packagehuman-cell-atlassingle-cell-rna-seqopenblascpp
3.0 match 41 stars 13.14 score 7.6k scripts 36 dependents
pik-piam
mrremind:MadRat REMIND Input Data Package
The mrremind packages contains data preprocessing for the REMIND model.
Maintained by Lavinia Baumstark. Last updated 4 days ago.
4.0 match 4 stars 6.25 score 15 scripts 1 dependentsbioc
chevreulProcess:Tools for managing SingleCellExperiment objects as projects
Tools analyzing SingleCellExperiment objects as projects. for input into the Chevreul app downstream. Includes functions for analysis of single cell RNA sequencing data. Supported by NIH grants R01CA137124 and R01EY026661 to David Cobrinik.
Maintained by Kevin Stachelek. Last updated 1 months ago.
coveragernaseqsequencingvisualizationgeneexpressiontranscriptionsinglecelltranscriptomicsnormalizationpreprocessingqualitycontroldimensionreductiondataimport
3.6 match 5.38 score 2 scripts 2 dependents
ropensci
rrricanes:Web Scraper for Atlantic and East Pacific Hurricanes and Tropical Storms
Get archived data of past and current hurricanes and tropical storms for the Atlantic and eastern Pacific oceans. Data is available for storms since 1998. Datasets are updated via the rrricanesdata package. Currently, this package is about 6MB of datasets. See the README or view `vignette("drat")` for more information.
Maintained by Elin Waring. Last updated 1 years ago.
4.0 match 21 stars 4.66 score 55 scriptsbioc
chevreulShiny:Tools for managing SingleCellExperiment objects as projects
Tools for managing SingleCellExperiment objects as projects. Includes functions for analysis and visualization of single-cell data. Also included is a shiny app for visualization of pre-processed scRNA data. Supported by NIH grants R01CA137124 and R01EY026661 to David Cobrinik.
Maintained by Kevin Stachelek. Last updated 14 days ago.
coveragernaseqsequencingvisualizationgeneexpressiontranscriptionsinglecelltranscriptomicsnormalizationpreprocessingqualitycontroldimensionreductiondataimport
3.6 match 5.08 scorebioc
chevreulPlot:Plots used in the chevreulPlot package
Tools for plotting SingleCellExperiment objects in the chevreulPlot package. Includes functions for analysis and visualization of single-cell data. Supported by NIH grants R01CA137124 and R01EY026661 to David Cobrinik.
Maintained by Kevin Stachelek. Last updated 18 days ago.
coveragernaseqsequencingvisualizationgeneexpressiontranscriptionsinglecelltranscriptomicsnormalizationpreprocessingqualitycontroldimensionreductiondataimport
3.6 match 5.08 score 2 scriptsropensci
rrricanesdata:Data for Atlantic and east Pacific tropical cyclones since 1998
Includes storm discussions, forecast/advisories, public advisories, wind speed probabilities, strike probabilities and more. This package can be used along with rrricanes (>= 0.2.0-6). Data is considered public domain via the National Hurricane Center.
Maintained by Tim Trice. Last updated 5 years ago.
6.8 match 3 stars 2.64 score 29 scripts
kloke
npsm:Nonparametric Statistical Methods
Accompanies the book "Nonparametric Statistical Methods Using R, 2nd Edition" by Kloke and McKean (2024, ISBN:9780367651350). Includes methods, datasets, and random number generation useful for the study of robust and/or nonparametric statistics. Emphasizes classical nonparametric methods for a variety of designs --- especially one-sample and two-sample problems. Includes methods for general scores, including estimation and testing for the two-sample location problem as well as Hogg's adaptive method.
Maintained by John Kloke. Last updated 9 months ago.
4.5 match 3.47 score 59 scripts
agbarnett
dobson:Data from the GLM Book by Dobson and Barnett
Example datasets from the book "An Introduction to Generalised Linear Models" (Year: 2018, ISBN:9781138741515) by Dobson and Barnett.
Maintained by Adrian Barnett. Last updated 6 years ago.
datasetsgeneralized-linear-models
3.6 match 3 stars 4.05 score 74 scripts
paullabonne
BayesMultiMode:Bayesian Mode Inference
A two-step Bayesian approach for mode inference following Cross, Hoogerheide, Labonne and van Dijk (2024) <doi:10.1016/j.econlet.2024.111579>). First, a mixture distribution is fitted on the data using a sparse finite mixture (SFM) Markov chain Monte Carlo (MCMC) algorithm. The number of mixture components does not have to be known; the size of the mixture is estimated endogenously through the SFM approach. Second, the modes of the estimated mixture at each MCMC draw are retrieved using algorithms specifically tailored for mode detection. These estimates are then used to construct posterior probabilities for the number of modes, their locations and uncertainties, providing a powerful tool for mode inference.
Maintained by Paul Labonne. Last updated 5 months ago.
3.6 match 1 stars 3.70 score 8 scripts
kybak90
spheresmooth:Piecewise Geodesic Smoothing for Spherical Data
Fitting a smooth path to a given set of noisy spherical data observed at known time points. It implements a piecewise geodesic curve fitting method on the unit sphere based on a velocity-based penalization scheme. The proposed approach is implemented using the Riemannian block coordinate descent algorithm. To understand the method and algorithm, one can refer to Bak, K. Y., Shin, J. K., & Koo, J. Y. (2023) <doi:10.1080/02664763.2022.2054962> for the case of order 1. Additionally, this package includes various functions necessary for handling spherical data.
Maintained by Kwan-Young Bak. Last updated 3 months ago.
4.0 match 3.18 score 2 scripts
peterkdunn
GLMsData:Generalized Linear Model Data Sets
Data sets from the book Generalized Linear Models with Examples in R by Dunn and Smyth.
Maintained by Peter K. Dunn. Last updated 3 years ago.
4.0 match 2.61 score 220 scripts
tychelab
CoSMoS:Complete Stochastic Modelling Solution
Makes univariate, multivariate, or random fields simulations precise and simple. Just select the desired time series or random fields’ properties and it will do the rest. CoSMoS is based on the framework described in Papalexiou (2018, <doi:10.1016/j.advwatres.2018.02.013>), extended for random fields in Papalexiou and Serinaldi (2020, <doi:10.1029/2019WR026331>), and further advanced in Papalexiou et al. (2021, <doi:10.1029/2020WR029466>) to allow fine-scale space-time simulation of storms (or even cyclone-mimicking fields).
Maintained by Kevin Shook. Last updated 4 years ago.
0.5 match 11 stars 7.10 score 77 scripts
cran
kmodR:K-Means with Simultaneous Outlier Detection
An implementation of the 'k-means--' algorithm proposed by Chawla and Gionis, 2013 in their paper, "k-means-- : A unified approach to clustering and outlier detection. SIAM International Conference on Data Mining (SDM13)", <doi:10.1137/1.9781611972832.21> and using 'ordering' described by Howe, 2013 in the thesis, Clustering and anomaly detection in tropical cyclones". Useful for creating (potentially) tighter clusters than standard k-means and simultaneously finding outliers inexpensively in multidimensional space.
Maintained by David Charles Howe. Last updated 3 years ago.
0.5 match 1.70 score