Showing 24 of total 24 results (show query)
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 3 days ago.
146 stars 15.34 score 4.2k scripts 18 dependents
easystats
datawizard:Easy Data Wrangling and Statistical Transformations
A lightweight package to assist in key steps involved in any data analysis workflow: (1) wrangling the raw data to get it in the needed form, (2) applying preprocessing steps and statistical transformations, and (3) compute statistical summaries of data properties and distributions. It is also the data wrangling backend for packages in 'easystats' ecosystem. References: Patil et al. (2022) <doi:10.21105/joss.04684>.
Maintained by Etienne Bacher. Last updated 4 days ago.
datadplyrhacktoberfestjanitormanipulationreshapetidyrwrangling
223 stars 14.77 score 436 scripts 120 dependents
hwborchers
pracma:Practical Numerical Math Functions
Provides a large number of functions from numerical analysis and linear algebra, numerical optimization, differential equations, time series, plus some well-known special mathematical functions. Uses 'MATLAB' function names where appropriate to simplify porting.
Maintained by Hans W. Borchers. Last updated 1 years ago.
29 stars 12.34 score 6.6k scripts 931 dependents
opendendro
dplR:Dendrochronology Program Library in R
Perform tree-ring analyses such as detrending, chronology building, and cross dating. Read and write standard file formats used in dendrochronology.
Maintained by Andy Bunn. Last updated 1 months ago.
40 stars 11.66 score 546 scripts 26 dependents
l-ramirez-lopez
prospectr:Miscellaneous Functions for Processing and Sample Selection of Spectroscopic Data
Functions to preprocess spectroscopic data and conduct (representative) sample selection/calibration sampling.
Maintained by Leonardo Ramirez-Lopez. Last updated 13 days ago.
chemometricsderivativesinfrarednear-infrarednirpedometricspreprocessingresamplesamplingsignalsoil-spectroscopyspectroscopyopenblascppopenmp
42 stars 10.22 score 326 scripts 4 dependents
gjmvanboxtel
gsignal:Signal Processing
R implementation of the 'Octave' package 'signal', containing a variety of signal processing tools, such as signal generation and measurement, correlation and convolution, filtering, filter design, filter analysis and conversion, power spectrum analysis, system identification, decimation and sample rate change, and windowing.
Maintained by Geert van Boxtel. Last updated 2 months ago.
24 stars 10.07 score 133 scripts 34 dependents
bxc147
Epi:Statistical Analysis in Epidemiology
Functions for demographic and epidemiological analysis in the Lexis diagram, i.e. register and cohort follow-up data. In particular representation, manipulation, rate estimation and simulation for multistate data - the Lexis suite of functions, which includes interfaces to 'mstate', 'etm' and 'cmprsk' packages. Contains functions for Age-Period-Cohort and Lee-Carter modeling and a function for interval censored data and some useful functions for tabulation and plotting, as well as a number of epidemiological data sets.
Maintained by Bendix Carstensen. Last updated 3 months ago.
4 stars 9.64 score 708 scripts 11 dependents
dsstoffer
astsa:Applied Statistical Time Series Analysis
Contains data sets and scripts for analyzing time series in both the frequency and time domains including state space modeling as well as supporting the texts Time Series Analysis and Its Applications: With R Examples (5th ed), by R.H. Shumway and D.S. Stoffer. Springer Texts in Statistics, 2025, <https://link.springer.com/book/9783031705830>, and Time Series: A Data Analysis Approach Using R. Chapman-Hall, 2019, <DOI:10.1201/9780429273285>.
Maintained by David Stoffer. Last updated 2 months ago.
7 stars 7.86 score 2.2k scripts 8 dependents
michaeldorman
starsExtra:Miscellaneous Functions for Working with 'stars' Rasters
Miscellaneous functions for working with 'stars' objects, mainly single-band rasters. Currently includes functions for: (1) focal filtering, (2) detrending of Digital Elevation Models, (3) calculating flow length, (4) calculating the Convergence Index, (5) calculating topographic aspect and topographic slope.
Maintained by Michael Dorman. Last updated 1 years ago.
25 stars 6.53 score 45 scripts 2 dependents
bioc
HiContacts:Analysing cool files in R with HiContacts
HiContacts provides a collection of tools to analyse and visualize Hi-C datasets imported in R by HiCExperiment.
Maintained by Jacques Serizay. Last updated 12 days ago.
12 stars 6.07 score 49 scripts
egpivo
SpatPCA:Regularized Principal Component Analysis for Spatial Data
Provide regularized principal component analysis incorporating smoothness, sparseness and orthogonality of eigen-functions by using the alternating direction method of multipliers algorithm (Wang and Huang, 2017, <DOI:10.1080/10618600.2016.1157483>). The method can be applied to either regularly or irregularly spaced data, including 1D, 2D, and 3D.
Maintained by Wen-Ting Wang. Last updated 7 months ago.
admmcovariance-estimationeigenfunctionslassomatrix-factorizationpcarcpparmadillorcppparallelregularizationspatialspatial-data-analysissplinesopenblascppopenmp
20 stars 5.53 score 17 scripts
rebeccasalles
TSPred:Functions for Benchmarking Time Series Prediction
Functions for defining and conducting a time series prediction process including pre(post)processing, decomposition, modelling, prediction and accuracy assessment. The generated models and its yielded prediction errors can be used for benchmarking other time series prediction methods and for creating a demand for the refinement of such methods. For this purpose, benchmark data from prediction competitions may be used.
Maintained by Rebecca Pontes Salles. Last updated 4 years ago.
benchmarkinglinear-modelsmachine-learningnonstationaritytime-series-forecasttime-series-prediction
24 stars 5.53 score 94 scripts 1 dependents
dipterix
ravetools:Signal and Image Processing Toolbox for Analyzing Intracranial Electroencephalography Data
Implemented fast and memory-efficient Notch-filter, Welch-periodogram, discrete wavelet spectrogram for minutes of high-resolution signals, fast 3D convolution, image registration, 3D mesh manipulation; providing fundamental toolbox for intracranial Electroencephalography (iEEG) pipelines. Documentation and examples about 'RAVE' project are provided at <https://rave.wiki>, and the paper by John F. Magnotti, Zhengjia Wang, Michael S. Beauchamp (2020) <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("ravetools")' for details.
Maintained by Zhengjia Wang. Last updated 18 days ago.
3 stars 5.13 score 20 scripts 1 dependents
mandymejia
fMRItools:Routines for Common fMRI Processing Tasks
Supports fMRI (functional magnetic resonance imaging) analysis tasks including reading in 'CIFTI', 'GIFTI' and 'NIFTI' data, temporal filtering, nuisance regression, and aCompCor (anatomical Components Correction) (Muschelli et al. (2014) <doi:10.1016/j.neuroimage.2014.03.028>).
Maintained by Amanda Mejia. Last updated 24 days ago.
2 stars 5.10 score 35 scripts 4 dependents
matthewclegg
egcm:Engle-Granger Cointegration Models
An easy-to-use implementation of the Engle-Granger two-step procedure for identifying pairs of cointegrated series. It is geared towards the analysis of pairs of securities. Summary and plot functions are provided, and the package is able to fetch closing prices of securities from Yahoo. A variety of unit root tests are supported, and an improved unit root test is included.
Maintained by Matthew Clegg. Last updated 2 years ago.
17 stars 4.69 score 57 scripts
jonathanlees
RSEIS:Seismic Time Series Analysis Tools
Multiple interactive codes to view and analyze seismic data, via spectrum analysis, wavelet transforms, particle motion, hodograms. Includes general time-series tools, plotting, filtering, interactive display.
Maintained by Jonathan M. Lees. Last updated 7 months ago.
3 stars 4.27 score 262 scripts 4 dependents
chemhouse-group
rchemo:Dimension Reduction, Regression and Discrimination for Chemometrics
Data exploration and prediction with focus on high dimensional data and chemometrics. The package was initially designed about partial least squares regression and discrimination models and variants, in particular locally weighted PLS models (LWPLS). Then, it has been expanded to many other methods for analyzing high dimensional data. The name 'rchemo' comes from the fact that the package is orientated to chemometrics, but most of the provided methods are fully generic to other domains. Functions such as transform(), predict(), coef() and summary() are available. Tuning the predictive models is facilitated by generic functions gridscore() (validation dataset) and gridcv() (cross-validation). Faster versions are also available for models based on latent variables (LVs) (gridscorelv() and gridcvlv()) and ridge regularization (gridscorelb() and gridcvlb()).
Maintained by Marion Brandolini-Bunlon. Last updated 7 months ago.
3 stars 3.52 score 11 scriptsegpivo
SpatMCA:Regularized Spatial Maximum Covariance Analysis
Provide regularized maximum covariance analysis incorporating smoothness, sparseness and orthogonality of couple patterns by using the alternating direction method of multipliers algorithm. The method can be applied to either regularly or irregularly spaced data, including 1D, 2D, and 3D (Wang and Huang, 2018 <doi:10.1002/env.2481>).
Maintained by Wen-Ting Wang. Last updated 7 months ago.
admmccacross-covariancelassomatrix-factorizationrcpparmadillorcppparallelsplinesopenblascppopenmp
5 stars 3.40 score 4 scripts
cran
ubair:Effects of External Conditions on Air Quality
Analyzes the impact of external conditions on air quality using counterfactual approaches, featuring methods for data preparation, modeling, and visualization.
Maintained by Imke Voss. Last updated 2 months ago.
3.18 scorecran
astrochron:A Computational Tool for Astrochronology
Routines for astrochronologic testing, astronomical time scale construction, and time series analysis <doi:10.1016/j.earscirev.2018.11.015>. Also included are a range of statistical analysis and modeling routines that are relevant to time scale development and paleoclimate analysis.
Maintained by Stephen Meyers. Last updated 6 months ago.
5 stars 2.70 score
nxskok
mkac:Mann-Kendall correlation and Theil-Sen slope for possibly autocorrelated time series
A re-do of part of the fume package to be (hopefully) feasible for larger data sets.
Maintained by Ken Butler. Last updated 1 years ago.
4 stars 2.30 score 6 scripts
syerramilli
sysid:System Identification in R
Provides functions for constructing mathematical models of dynamical systems from measured input-output data.
Maintained by Suraj Yerramilli. Last updated 8 years ago.
2.08 score 24 scripts
