Showing 100 of total 100 results (show query)
aljrico
harrypotter:Palettes Generated from All "Harry Potter" Movies
Implementation of characteristic palettes inspired in the Wizarding World and the Harry Potter movie franchise.
Maintained by Alejandro Jimenez Rico. Last updated 5 years ago.
color-paletteharryharry-potterplot
28.4 match 101 stars 6.11 score 254 scripts
bnosac
image.CornerDetectionHarris:Implementation of the Harris Corner Detection for Images
An implementation of the Harris Corner Detection as described in the paper "An Analysis and Implementation of the Harris Corner Detector" by Sánchez J. et al (2018) available at <doi:10.5201/ipol.2018.229>. The package allows to detect relevant points in images which are characteristic to the digital image.
Maintained by Jan Wijffels. Last updated 1 years ago.
canny-edge-detectioncomputer-visioncontoursdarknetdlibf9harris-cornersharris-interest-point-detectorhog-featuresimage-algorithmsimage-recognitionopenpanootsusurfcppopenmp
20.8 match 279 stars 5.14 score 2 scriptsbnosac
image.libfacedetection:Convolutional Neural Network for Face Detection
An open source library for face detection in images. Provides a pretrained convolutional neural network based on <https://github.com/ShiqiYu/libfacedetection> which can be used to detect faces which have size greater than 10x10 pixels.
Maintained by Jan Wijffels. Last updated 1 years ago.
canny-edge-detectioncomputer-visioncontoursdarknetdlibf9harris-cornersharris-interest-point-detectorhog-featuresimage-algorithmsimage-recognitionopenpanootsusurfcppopenmp
13.8 match 279 stars 5.29 score 14 scriptsbnosac
image.ContourDetector:Implementation of the Unsupervised Smooth Contour Line Detection for Images
An implementation of the Unsupervised Smooth Contour Detection algorithm for digital images as described in the paper: "Unsupervised Smooth Contour Detection" by Rafael Grompone von Gioi, and Gregory Randall (2016). The algorithm is explained at <doi:10.5201/ipol.2016.175>.
Maintained by Jan Wijffels. Last updated 1 years ago.
canny-edge-detectioncomputer-visioncontoursdarknetdlibf9harris-cornersharris-interest-point-detectorhog-featuresimage-algorithmsimage-recognitionopenpanootsusurfcpp
13.8 match 279 stars 5.14 score 7 scriptsbnosac
image.Otsu:Otsu's Image Segmentation Method
An implementation of the Otsu's Image Segmentation Method described in the paper: "A C++ Implementation of Otsu's Image Segmentation Method". The algorithm is explained at <doi:10.5201/ipol.2016.158>.
Maintained by Jan Wijffels. Last updated 1 years ago.
canny-edge-detectioncomputer-visioncontoursdarknetdlibf9harris-cornersharris-interest-point-detectorhog-featuresimage-algorithmsimage-recognitionopenpanootsusurfcpp
13.8 match 279 stars 5.14 scorebnosac
image.LineSegmentDetector:Detect Line Segments in Images
An implementation of the Line Segment Detector on digital images described in the paper: "LSD: A Fast Line Segment Detector with a False Detection Control" by Rafael Grompone von Gioi et al (2012). The algorithm is explained at <doi:10.5201/ipol.2012.gjmr-lsd>.
Maintained by Jan Wijffels. Last updated 1 years ago.
canny-edge-detectioncomputer-visioncontoursdarknetdlibf9harris-cornersharris-interest-point-detectorhog-featuresimage-algorithmsimage-recognitionopenpanootsusurfcpp
13.8 match 279 stars 5.14 score 7 scriptsbnosac
image.CornerDetectionF9:Find Corners in Digital Images with FAST-9
An implementation of the "FAST-9" corner detection algorithm explained in the paper 'FASTER and better: A machine learning approach to corner detection' by Rosten E., Porter R. and Drummond T. (2008), available at <arXiv:0810.2434>. The package allows to detect corners in digital images.
Maintained by Jan Wijffels. Last updated 1 years ago.
canny-edge-detectioncomputer-visioncontoursdarknetdlibf9harris-cornersharris-interest-point-detectorhog-featuresimage-algorithmsimage-recognitionopenpanootsusurfcpp
13.8 match 279 stars 5.14 score 7 scriptsbnosac
image.CannyEdges:Implementation of the Canny Edge Detector for Images
An implementation of the Canny Edge Detector for detecting edges in images. The package provides an interface to the algorithm available at <https://github.com/Neseb/canny>.
Maintained by Jan Wijffels. Last updated 1 years ago.
canny-edge-detectioncomputer-visioncontoursdarknetdlibf9harris-cornersharris-interest-point-detectorhog-featuresimage-algorithmsimage-recognitionopenpanootsusurffftw3cpp
13.8 match 278 stars 5.14 score 6 scripts
pharmaverse
sdtmchecks:Data Quality Checks for Study Data Tabulation Model (SDTM) Datasets
A series of checks to identify common issues in Study Data Tabulation Model (SDTM) datasets. These checks are intended to be generalizable, actionable, and meaningful for analysis.
Maintained by Will Harris. Last updated 3 months ago.
9.1 match 21 stars 7.66 score 15 scripts
harrysouthworth
texmex:Statistical Modelling of Extreme Values
Statistical extreme value modelling of threshold excesses, maxima and multivariate extremes. Univariate models for threshold excesses and maxima are the Generalised Pareto, and Generalised Extreme Value model respectively. These models may be fitted by using maximum (optionally penalised-)likelihood, or Bayesian estimation, and both classes of models may be fitted with covariates in any/all model parameters. Model diagnostics support the fitting process. Graphical output for visualising fitted models and return level estimates is provided. For serially dependent sequences, the intervals declustering algorithm of Ferro and Segers (2003) <doi:10.1111/1467-9868.00401> is provided, with diagnostic support to aid selection of threshold and declustering horizon. Multivariate modelling is performed via the conditional approach of Heffernan and Tawn (2004) <doi:10.1111/j.1467-9868.2004.02050.x>, with graphical tools for threshold selection and to diagnose estimation convergence.
Maintained by Harry Southworth. Last updated 1 years ago.
9.1 match 7 stars 6.92 score 66 scripts 1 dependents
harryprince
geospark:Bring Local Sf to Spark
R binds 'GeoSpark' <http://geospark.datasyslab.org/> extending 'sparklyr' <https://spark.rstudio.com/> R package to make distributed 'geocomputing' easier. Sf is a package that provides [simple features] <https://en.wikipedia.org/wiki/Simple_Features> access for R and which is a leading 'geospatial' data processing tool. 'Geospark' R package bring the same simple features access like sf but running on Spark distributed system.
Maintained by Harry Zhu. Last updated 3 years ago.
apache-sparkgislarge-scale-spatial-analysisspark-sqlsparklyr-extensionspatial-analysisspatial-queries
9.2 match 57 stars 5.06 score 20 scripts
colemanrharris
mxnorm:Apply Normalization Methods to Multiplexed Images
Implements methods to normalize multiplexed imaging data, including statistical metrics and visualizations to quantify technical variation in this data type. Reference for methods listed here: Harris, C., Wrobel, J., & Vandekar, S. (2022). mxnorm: An R Package to Normalize Multiplexed Imaging Data. Journal of Open Source Software, 7(71), 4180, <doi:10.21105/joss.04180>.
Maintained by Coleman Harris. Last updated 2 years ago.
9.6 match 7 stars 4.54 score 7 scripts
hfshr
bitmexr:R Client for BitMEX
A client for cryptocurrency exchange BitMEX <https://www.bitmex.com/> including the ability to obtain historic trade data and place, edit and cancel orders. BitMEX's Testnet and live API are both supported.
Maintained by Harry Fisher. Last updated 2 years ago.
9.3 match 2 stars 4.60 score 8 scripts
bioc
TOP:TOP Constructs Transferable Model Across Gene Expression Platforms
TOP constructs a transferable model across gene expression platforms for prospective experiments. Such a transferable model can be trained to make predictions on independent validation data with an accuracy that is similar to a re-substituted model. The TOP procedure also has the flexibility to be adapted to suit the most common clinical response variables, including linear response, binomial and Cox PH models.
Maintained by Harry Robertson. Last updated 5 months ago.
softwaresurvivalgeneexpression
9.1 match 4.70 score 50 scripts
meghansaha
artpack:Creates Generative Art Data
Create data that displays generative art when mapped into a 'ggplot2' plot. Functionality includes specialized data frame creation for geometric shapes, tools that define artistic color palettes, tools for geometrically transforming data, and other miscellaneous tools that are helpful when using 'ggplot2' for generative art.
Maintained by Meghan Harris. Last updated 1 years ago.
9.1 match 5 stars 4.57 score 15 scripts
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.
3.7 match 24 stars 10.03 score 133 scripts 34 dependentshfshr
jqbr:'jQuery QueryBuilder' Input for 'Shiny'
A highly configurable 'jQuery' plugin offering a simple interface to create complex queries/filters in 'Shiny'. The outputted rules can easily be parsed into a set of 'R' and/or 'SQL' queries and used to filter data. Custom parsing of the rules is also supported. For more information about 'jQuery QueryBuilder' see <https://querybuilder.js.org/>.
Maintained by Harry Fisher. Last updated 2 years ago.
9.4 match 9 stars 3.77 score 13 scripts
lharris421
indexr:A Thoughtful Saver of Results
Helps with the thoughtful saving, reading, and management of result files (using 'rds' files). The core functions take a list of parameters that are used to generate a unique hash to save results under. Then, the same parameter list can be used to read those results back in. This is helpful to avoid clunky file naming when running a large number of simulations. Additionally, helper functions are available for compiling a flat file of parameters of saved results, monitoring result usage, and cleaning up unwanted or unused results. For more information, visit the 'indexr' homepage <https://lharris421.github.io/indexr/>.
Maintained by Logan Harris. Last updated 28 days ago.
9.1 match 3.85 score 3 scripts
jenineharris
odds.n.ends:Odds Ratios, Contingency Table, and Model Significance from a Generalized Linear Model Object
Computes odds ratios and 95% confidence intervals from a generalized linear model object. It also computes model significance with the chi-squared statistic and p-value and it computes model fit using a contingency table to determine the percent of observations for which the model correctly predicts the value of the outcome. Calculates model sensitivity and specificity.
Maintained by Jenine Harris. Last updated 3 years ago.
9.4 match 3.74 score 11 scripts
hrryt
minesweeper:Play Minesweeper
Play and record games of minesweeper using a graphics device that supports event handling. Replay recorded games and save GIF animations of them. Based on classic minesweeper as detailed by Crow P. (1997) <https://minesweepergame.com/math/a-mathematical-introduction-to-the-game-of-minesweeper-1997.pdf>.
Maintained by Harry Thompson. Last updated 4 months ago.
9.3 match 3.30 score 1 scripts
eddelbuettel
digest:Create Compact Hash Digests of R Objects
Implementation of a function 'digest()' for the creation of hash digests of arbitrary R objects (using the 'md5', 'sha-1', 'sha-256', 'crc32', 'xxhash', 'murmurhash', 'spookyhash', 'blake3', 'crc32c', 'xxh3_64', and 'xxh3_128' algorithms) permitting easy comparison of R language objects, as well as functions such as 'hmac()' to create hash-based message authentication code. Please note that this package is not meant to be deployed for cryptographic purposes for which more comprehensive (and widely tested) libraries such as 'OpenSSL' should be used.
Maintained by Dirk Eddelbuettel. Last updated 2 months ago.
1.5 match 114 stars 19.82 score 11k scripts 6.9k dependents
henrikbengtsson
matrixStats:Functions that Apply to Rows and Columns of Matrices (and to Vectors)
High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().
Maintained by Henrik Bengtsson. Last updated 2 months ago.
1.5 match 208 stars 18.09 score 20k scripts 2.3k dependents
davharris
blender:Analyze biotic homogenization of landscapes
Tools for assessing exotic species' contributions to landscape homogeneity using average pairwise Jaccard similarity and an analytical approximation derived in Harris et al. (2011, "Occupancy is nine-tenths of the law," The American Naturalist). Also includes a randomization method for assessing sources of model error.
Maintained by David J. Harris. Last updated 13 years ago.
8.9 match 3.00 score 4 scripts
ropensci
skimr:Compact and Flexible Summaries of Data
A simple to use summary function that can be used with pipes and displays nicely in the console. The default summary statistics may be modified by the user as can the default formatting. Support for data frames and vectors is included, and users can implement their own skim methods for specific object types as described in a vignette. Default summaries include support for inline spark graphs. Instructions for managing these on specific operating systems are given in the "Using skimr" vignette and the README.
Maintained by Elin Waring. Last updated 2 months ago.
peer-reviewedropenscisummary-statisticsunconfunconf17
1.5 match 1.1k stars 16.80 score 18k scripts 14 dependents
echasnovski
comperes:Manage Competition Results
Tools for storing and managing competition results. Competition is understood as a set of games in which players gain some abstract scores. There are two ways for storing results: in long (one row per game-player) and wide (one row per game with fixed amount of players) formats. This package provides functions for creation and conversion between them. Also there are functions for computing their summary and Head-to-Head values for players. They leverage grammar of data manipulation from 'dplyr'.
Maintained by Evgeni Chasnovski. Last updated 2 years ago.
3.6 match 8 stars 6.28 score 40 scripts 1 dependents
gbm-developers
gbm:Generalized Boosted Regression Models
An implementation of extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient boosting machine. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMart). Originally developed by Greg Ridgeway. Newer version available at github.com/gbm-developers/gbm3.
Maintained by Greg Ridgeway. Last updated 9 months ago.
1.5 match 52 stars 13.85 score 6.8k scripts 91 dependents
jepusto
scdhlm:Estimating Hierarchical Linear Models for Single-Case Designs
Provides a set of tools for estimating hierarchical linear models and effect sizes based on data from single-case designs. Functions are provided for calculating standardized mean difference effect sizes that are directly comparable to standardized mean differences estimated from between-subjects randomized experiments, as described in Hedges, Pustejovsky, and Shadish (2012) <DOI:10.1002/jrsm.1052>; Hedges, Pustejovsky, and Shadish (2013) <DOI:10.1002/jrsm.1086>; Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>; and Chen, Pustejovsky, Klingbeil, and Van Norman (2023) <DOI:10.1016/j.jsp.2023.02.002>. Includes an interactive web interface.
Maintained by James Pustejovsky. Last updated 1 years ago.
3.8 match 4 stars 5.62 score 52 scripts
stocnet
manynet:Many Ways to Make, Modify, Map, Mark, and Measure Myriad Networks
Many tools for making, modifying, mapping, marking, measuring, and motifs and memberships of many different types of networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, and on one-mode, two-mode (bipartite), and sometimes three-mode networks. The package includes functions for importing and exporting, creating and generating networks, modifying networks and node and tie attributes, and describing and visualizing networks with sensible defaults.
Maintained by James Hollway. Last updated 3 months ago.
diffusion-modelsgraphsnetwork-analysis
3.3 match 13 stars 6.41 score 35 scripts 1 dependents
pbreheny
ncvreg:Regularization Paths for SCAD and MCP Penalized Regression Models
Fits regularization paths for linear regression, GLM, and Cox regression models using lasso or nonconvex penalties, in particular the minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalty, with options for additional L2 penalties (the "elastic net" idea). Utilities for carrying out cross-validation as well as post-fitting visualization, summarization, inference, and prediction are also provided. For more information, see Breheny and Huang (2011) <doi:10.1214/10-AOAS388> or visit the ncvreg homepage <https://pbreheny.github.io/ncvreg/>.
Maintained by Patrick Breheny. Last updated 4 days ago.
1.6 match 43 stars 12.04 score 458 scripts 38 dependentsbioc
bumphunter:Bump Hunter
Tools for finding bumps in genomic data
Maintained by Tamilselvi Guharaj. Last updated 5 months ago.
dnamethylationepigeneticsinfrastructuremultiplecomparisonimmunooncology
1.5 match 16 stars 11.74 score 210 scripts 42 dependents
weiliang
clusterGeneration:Random Cluster Generation (with Specified Degree of Separation)
We developed the clusterGeneration package to provide functions for generating random clusters, generating random covariance/correlation matrices, calculating a separation index (data and population version) for pairs of clusters or cluster distributions, and 1-D and 2-D projection plots to visualize clusters. The package also contains a function to generate random clusters based on factorial designs with factors such as degree of separation, number of clusters, number of variables, number of noisy variables.
Maintained by Weiliang Qiu. Last updated 2 years ago.
2.6 match 1 stars 6.45 score 225 scripts 94 dependents
tnagler
VineCopula:Statistical Inference of Vine Copulas
Provides tools for the statistical analysis of regular vine copula models, see Aas et al. (2009) <doi:10.1016/j.insmatheco.2007.02.001> and Dissman et al. (2013) <doi:10.1016/j.csda.2012.08.010>. The package includes tools for parameter estimation, model selection, simulation, goodness-of-fit tests, and visualization. Tools for estimation, selection and exploratory data analysis of bivariate copula models are also provided.
Maintained by Thomas Nagler. Last updated 25 days ago.
copulaestimationstatisticsvine
1.5 match 91 stars 10.99 score 362 scripts 23 dependents
cran
astroFns:Astronomy: Time and Position Functions, Misc. Utilities
Miscellaneous astronomy functions, utilities, and data.
Maintained by Andrew Harris. Last updated 3 years ago.
9.8 match 1.58 score 38 scripts
bblonder
hypervolume:High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls
Estimates the shape and volume of high-dimensional datasets and performs set operations: intersection / overlap, union, unique components, inclusion test, and hole detection. Uses stochastic geometry approach to high-dimensional kernel density estimation, support vector machine delineation, and convex hull generation. Applications include modeling trait and niche hypervolumes and species distribution modeling.
Maintained by Benjamin Blonder. Last updated 2 months ago.
1.6 match 23 stars 9.75 score 211 scripts 7 dependents
profpetrie
regclass:Tools for an Introductory Class in Regression and Modeling
Contains basic tools for visualizing, interpreting, and building regression models. It has been designed for use with the book Introduction to Regression and Modeling with R by Adam Petrie, Cognella Publishers, ISBN: 978-1-63189-250-9 <https://titles.cognella.com/introduction-to-regression-and-modeling-with-r-9781631892509>.
Maintained by Adam Petrie. Last updated 5 years ago.
3.8 match 3.90 score 301 scripts 1 dependents
georgheinze
logistf:Firth's Bias-Reduced Logistic Regression
Fit a logistic regression model using Firth's bias reduction method, equivalent to penalization of the log-likelihood by the Jeffreys prior. Confidence intervals for regression coefficients can be computed by penalized profile likelihood. Firth's method was proposed as ideal solution to the problem of separation in logistic regression, see Heinze and Schemper (2002) <doi:10.1002/sim.1047>. If needed, the bias reduction can be turned off such that ordinary maximum likelihood logistic regression is obtained. Two new modifications of Firth's method, FLIC and FLAC, lead to unbiased predictions and are now available in the package as well, see Puhr et al (2017) <doi:10.1002/sim.7273>.
Maintained by Georg Heinze. Last updated 2 years ago.
1.6 match 12 stars 9.23 score 346 scripts 16 dependents
faosorios
fastmatrix:Fast Computation of some Matrices Useful in Statistics
Small set of functions to fast computation of some matrices and operations useful in statistics and econometrics. Currently, there are functions for efficient computation of duplication, commutation and symmetrizer matrices with minimal storage requirements. Some commonly used matrix decompositions (LU and LDL), basic matrix operations (for instance, Hadamard, Kronecker products and the Sherman-Morrison formula) and iterative solvers for linear systems are also available. In addition, the package includes a number of common statistical procedures such as the sweep operator, weighted mean and covariance matrix using an online algorithm, linear regression (using Cholesky, QR, SVD, sweep operator and conjugate gradients methods), ridge regression (with optimal selection of the ridge parameter considering several procedures), omnibus tests for univariate normality, functions to compute the multivariate skewness, kurtosis, the Mahalanobis distance (checking the positive defineteness), and the Wilson-Hilferty transformation of gamma variables. Furthermore, the package provides interfaces to C code callable by another C code from other R packages.
Maintained by Felipe Osorio. Last updated 1 years ago.
commutation-matrixjarque-bera-testldl-factorizationlu-factorizationmatrix-api-for-r-packagesmatrix-normsmodified-choleskyols-regressionpower-methodridge-regressionsherman-morrisonstatisticssweep-operatorsymmetrizer-matrixfortranopenblas
2.3 match 19 stars 6.27 score 37 scripts 10 dependents
malaria-atlas-project
malariaAtlas:An R Interface to Open-Access Malaria Data, Hosted by the 'Malaria Atlas Project'
A suite of tools to allow you to download all publicly available parasite rate survey points, mosquito occurrence points and raster surfaces from the 'Malaria Atlas Project' <https://malariaatlas.org/> servers as well as utility functions for plotting the downloaded data.
Maintained by Mauricio van den Berg. Last updated 8 months ago.
1.5 match 44 stars 9.10 score 118 scripts 3 dependents
ropensci
traits:Species Trait Data from Around the Web
Species trait data from many different sources, including sequence data from 'NCBI' (<https://www.ncbi.nlm.nih.gov/>), plant trait data from 'BETYdb', data from 'EOL' 'Traitbank', 'Birdlife' International, and more.
Maintained by David LeBauer. Last updated 2 months ago.
traitsapiweb-servicesspeciestaxonomyapi-client
1.5 match 41 stars 8.65 score 82 scripts 11 dependents
lbb220
GWmodel:Geographically-Weighted Models
Techniques from a particular branch of spatial statistics,termed geographically-weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localised calibration provides a better description. 'GWmodel' includes functions to calibrate: GW summary statistics (Brunsdon et al., 2002)<doi: 10.1016/s0198-9715(01)00009-6>, GW principal components analysis (Harris et al., 2011)<doi: 10.1080/13658816.2011.554838>, GW discriminant analysis (Brunsdon et al., 2007)<doi: 10.1111/j.1538-4632.2007.00709.x> and various forms of GW regression (Brunsdon et al., 1996)<doi: 10.1111/j.1538-4632.1996.tb00936.x>; some of which are provided in basic and robust (outlier resistant) forms.
Maintained by Binbin Lu. Last updated 6 months ago.
2.1 match 18 stars 6.38 score 266 scripts 4 dependentsbioc
ClassifyR:A framework for cross-validated classification problems, with applications to differential variability and differential distribution testing
The software formalises a framework for classification and survival model evaluation in R. There are four stages; Data transformation, feature selection, model training, and prediction. The requirements of variable types and variable order are fixed, but specialised variables for functions can also be provided. The framework is wrapped in a driver loop that reproducibly carries out a number of cross-validation schemes. Functions for differential mean, differential variability, and differential distribution are included. Additional functions may be developed by the user, by creating an interface to the framework.
Maintained by Dario Strbenac. Last updated 7 days ago.
1.6 match 5 stars 8.36 score 45 scripts 3 dependents
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 24 days ago.
geedimgeotiffgisgoogle-earth-enginepythonrasterremote-sensingsatellite-imageryspatialterra
2.2 match 48 stars 5.81 score 27 scripts
cienciadedatos
datos:Traduce al Español Varios Conjuntos de Datos de Práctica
Provee una versión traducida de los siguientes conjuntos de datos: 'airlines', 'airports', 'AwardsManagers', 'babynames', 'Batting', 'credit_data', 'diamonds', 'faithful', 'fueleconomy', 'Fielding', 'flights', 'gapminder', 'gss_cat', 'iris', 'Managers', 'mpg', 'mtcars', 'atmos', 'palmerpenguins', 'People, 'Pitching', 'planes', 'presidential', 'table1', 'table2', 'table3', 'table4a', 'table4b', 'table5', 'vehicles', 'weather', 'who'. English: It provides a Spanish translated version of the datasets listed above.
Maintained by Riva Quiroga. Last updated 1 years ago.
1.5 match 48 stars 8.12 score 354 scripts
kwstat
agridat:Agricultural Datasets
Datasets from books, papers, and websites related to agriculture. Example graphics and analyses are included. Data come from small-plot trials, multi-environment trials, uniformity trials, yield monitors, and more.
Maintained by Kevin Wright. Last updated 28 days ago.
1.1 match 125 stars 11.02 score 1.7k scripts 2 dependentspharmaverse
datacutr:SDTM Datacut
Supports the process of applying a cut to Standard Data Tabulation Model (SDTM), as part of the analysis of specific points in time of the data, normally as part of investigation into clinical trials. The functions support different approaches of cutting to the different domains of SDTM normally observed.
Maintained by Tim Barnett. Last updated 1 months ago.
1.6 match 14 stars 7.48 score 11 scriptscran
evclust:Evidential Clustering
Various clustering algorithms that produce a credal partition, i.e., a set of Dempster-Shafer mass functions representing the membership of objects to clusters. The mass functions quantify the cluster-membership uncertainty of the objects. The algorithms are: Evidential c-Means, Relational Evidential c-Means, Constrained Evidential c-Means, Evidential Clustering, Constrained Evidential Clustering, Evidential K-nearest-neighbor-based Clustering, Bootstrap Model-Based Evidential Clustering, Belief Peak Evidential Clustering, Neural-Network-based Evidential Clustering.
Maintained by Thierry Denoeux. Last updated 1 years ago.
4.8 match 2.48 score 1 dependentsropensci
rdataretriever:R Interface to the Data Retriever
Provides an R interface to the Data Retriever <https://retriever.readthedocs.io/en/latest/> via the Data Retriever's command line interface. The Data Retriever automates the tasks of finding, downloading, and cleaning public datasets, and then stores them in a local database.
Maintained by Henry Senyondo. Last updated 8 months ago.
datadata-sciencedatabasedatasetsscience
1.5 match 46 stars 7.70 score 36 scripts
spatlyu
HSAR:Hierarchical Spatial Autoregressive Model
A Hierarchical Spatial Autoregressive Model (HSAR), based on a Bayesian Markov Chain Monte Carlo (MCMC) algorithm (Dong and Harris (2014) <doi:10.1111/gean.12049>). The creation of this package was supported by the Economic and Social Research Council (ESRC) through the Applied Quantitative Methods Network: Phase II, grant number ES/K006460/1.
Maintained by Wenbo Lv. Last updated 3 months ago.
spatial-econometricsspatial-regressionspatial-statisticsopenblascppopenmp
2.1 match 6 stars 5.43 score 30 scriptsropensci
baRcodeR:Label Creation for Tracking and Collecting Data from Biological Samples
Tools to generate unique identifier codes and printable barcoded labels for the management of biological samples. The creation of unique ID codes and printable PDF files can be initiated by standard commands, user prompts, or through a GUI addin for R Studio. Biologically informative codes can be included for hierarchically structured sampling designs.
Maintained by Robert Colautti. Last updated 1 years ago.
1.5 match 36 stars 6.95 score 49 scripts
weecology
LDATS:Latent Dirichlet Allocation Coupled with Time Series Analyses
Combines Latent Dirichlet Allocation (LDA) and Bayesian multinomial time series methods in a two-stage analysis to quantify dynamics in high-dimensional temporal data. LDA decomposes multivariate data into lower-dimension latent groupings, whose relative proportions are modeled using generalized Bayesian time series models that include abrupt changepoints and smooth dynamics. The methods are described in Blei et al. (2003) <doi:10.1162/jmlr.2003.3.4-5.993>, Western and Kleykamp (2004) <doi:10.1093/pan/mph023>, Venables and Ripley (2002, ISBN-13:978-0387954578), and Christensen et al. (2018) <doi:10.1002/ecy.2373>.
Maintained by Juniper L. Simonis. Last updated 5 years ago.
changepointldaparallel-temperingportalsoftmax
1.5 match 25 stars 6.93 score 45 scripts
thibautjombart
apex:Phylogenetic Methods for Multiple Gene Data
Toolkit for the analysis of multiple gene data (Jombart et al. 2017) <doi:10.1111/1755-0998.12567>. 'apex' implements the new S4 classes 'multidna', 'multiphyDat' and associated methods to handle aligned DNA sequences from multiple genes.
Maintained by Klaus Schliep. Last updated 1 years ago.
1.6 match 5 stars 6.40 score 54 scriptscran
cosmoFns:Functions for Cosmological Distances, Times, Luminosities, Etc
Package encapsulates standard expressions for distances, times, luminosities, and other quantities useful in observational cosmology, including molecular line observations. Currently coded for a flat universe only.
Maintained by Andrew Harris. Last updated 3 years ago.
9.8 match 1.00 score
jacobwharris
speedycode:Automate Code for Adding Labels, Recoding and Renaming Variables, and Converting ASCII Files
Label, recode, rename, and convert datasets and ASCII files more efficiently. 'speedycode' automates the code necessary for labeling variables with the 'labelled' package, recoding and renaming variables with 'dplyr' syntax, and converting ASCII files with the 'readroper' package. Most functions require only the name of the dataset and the code will be automatically written. Some convenience functions useful for converting ASCII files are also included.
Maintained by Jacob Harris. Last updated 3 years ago.
9.4 match 1.00 scorejenineharris
ergmharris:Local Health Department network data set
Data for use with the Sage Introduction to Exponential Random Graph Modeling text by Jenine K. Harris. Network data set consists of 1283 local health departments and the communication links among them along with several attributes.
Maintained by Jenine K. Harris. Last updated 12 years ago.
9.2 match 1.00 score
harryjalexander
ascentTraining:Ascent Training Datasets
Datasets to be used primarily in conjunction with Ascent training materials but also for the book 'SAMS Teach Yourself R in 24 Hours' (ISBN: 978-0-672-33848-9). Version 1.0-7 is largely for use with the book; however, version 1.1 has a much greater focus on use with training materials, whilst retaining compatibility with the book.
Maintained by Harry Alexander. Last updated 3 years ago.
9.2 match 1.00 score 2 scriptsbioc
OncoSimulR:Forward Genetic Simulation of Cancer Progression with Epistasis
Functions for forward population genetic simulation in asexual populations, with special focus on cancer progression. Fitness can be an arbitrary function of genetic interactions between multiple genes or modules of genes, including epistasis, order restrictions in mutation accumulation, and order effects. Fitness (including just birth, just death, or both birth and death) can also be a function of the relative and absolute frequencies of other genotypes (i.e., frequency-dependent fitness). Mutation rates can differ between genes, and we can include mutator/antimutator genes (to model mutator phenotypes). Simulating multi-species scenarios and therapeutic interventions, including adaptive therapy, is also possible. Simulations use continuous-time models and can include driver and passenger genes and modules. Also included are functions for: simulating random DAGs of the type found in Oncogenetic Trees, Conjunctive Bayesian Networks, and other cancer progression models; plotting and sampling from single or multiple realizations of the simulations, including single-cell sampling; plotting the parent-child relationships of the clones; generating random fitness landscapes (Rough Mount Fuji, House of Cards, additive, NK, Ising, and Eggbox models) and plotting them.
Maintained by Ramon Diaz-Uriarte. Last updated 12 days ago.
biologicalquestionsomaticmutationcpp
1.5 match 7 stars 6.06 score 68 scriptscran
Dpit:Distribution Pitting
Compares distributions with one another in terms of their fit to each sample in a dataset that contains multiple samples, as described in Joo, Aguinis, and Bradley (in press). Users can examine the fit of seven distributions per sample: pure power law, lognormal, exponential, power law with an exponential cutoff, normal, Poisson, and Weibull. Automation features allow the user to compare all distributions for all samples with a single command line, which creates a separate row containing results for each sample until the entire dataset has been analyzed.
Maintained by Harry Joo. Last updated 8 years ago.
9.1 match 1.00 score 2 scriptshenrikbengtsson
TopDom:An Efficient and Deterministic Method for Identifying Topological Domains in Genomes
The 'TopDom' method identifies topological domains in genomes from Hi-C sequence data (Shin et al., 2016 <doi:10.1093/nar/gkv1505>). The authors published an implementation of their method as an R script (two different versions; also available in this package). This package originates from those original 'TopDom' R scripts and provides help pages adopted from the original 'TopDom' PDF documentation. It also provides a small number of bug fixes to the original code.
Maintained by Henrik Bengtsson. Last updated 4 years ago.
genomicshictopological-domains
1.6 match 21 stars 5.80 score 20 scripts 1 dependentsropensci
rOPTRAM:Derive Soil Moisture Using the OPTRAM Algorithm
The OPtical TRapezoid Model (OPTRAM) derives soil moisture based on the linear relation between a vegetation index and Land Surface Temperature (LST). The Short Wave Infra-red (SWIR) band is used as a proxy for LST. See: Sadeghi, M. et al., 2017. <https://doi.org/10.1016/j.rse.2017.05.041> .
Maintained by Micha Silver. Last updated 1 months ago.
1.5 match 9 stars 5.73 score 6 scripts
lexcomber
stgam:Spatially and Temporally Varying Coefficient Models Using Generalized Additive Models
A framework for specifying spatially, temporally and spatially-and-temporally varying coefficient models using Generalized Additive Models with Gaussian Process smooths. The smooths are parameterised with location and / or time attributes. Importantly the framework supports the investigation of the presence and nature of any space-time dependencies in the data, allows the user to evaluate different model forms (specifications) and to pick the most probable model or to combine multiple varying coefficient models using Bayesian Model Averaging. For more details see: Brunsdon et al (2023) <doi:10.4230/LIPIcs.GIScience.2023.17>, Comber et al (2023) <doi:10.4230/LIPIcs.GIScience.2023.22> and Comber et al (2024) <doi:10.1080/13658816.2023.2270285>, Comber et al (2004) <doi:10.3390/ijgi13120459>.
Maintained by Lex Comber. Last updated 2 months ago.
1.7 match 2 stars 5.30 score 9 scripts
hpdell
hgwrr:Hierarchical and Geographically Weighted Regression
This model divides coefficients into three types, i.e., local fixed effects, global fixed effects, and random effects (Hu et al., 2022)<doi:10.1177/23998083211063885>. If data have spatial hierarchical structures (especially are overlapping on some locations), it is worth trying this model to reach better fitness.
Maintained by Yigong Hu. Last updated 3 months ago.
1.7 match 2 stars 5.18 score 6 scriptsbioc
ternarynet:Ternary Network Estimation
Gene-regulatory network (GRN) modeling seeks to infer dependencies between genes and thereby provide insight into the regulatory relationships that exist within a cell. This package provides a computational Bayesian approach to GRN estimation from perturbation experiments using a ternary network model, in which gene expression is discretized into one of 3 states: up, unchanged, or down). The ternarynet package includes a parallel implementation of the replica exchange Monte Carlo algorithm for fitting network models, using MPI.
Maintained by McCall N. Matthew. Last updated 5 months ago.
softwarecellbiologygraphandnetworknetworkbayesiancpp
2.4 match 3.30 score 3 scripts
vubiostat
redcapAPI:Interface to 'REDCap'
Access data stored in 'REDCap' databases using the Application Programming Interface (API). 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>, Harris, et al. (2009) <doi:10.1016/j.jbi.2008.08.010>, Harris, et al. (2019) <doi:10.1016/j.jbi.2019.103208>) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to access data and project meta data (such as the data dictionary) from the web programmatically. The 'redcapAPI' package facilitates the process of accessing data with options to prepare an analysis-ready data set consistent with the definitions in a database's data dictionary.
Maintained by Shawn Garbett. Last updated 10 days ago.
0.8 match 22 stars 10.47 score 134 scripts 2 dependents
goldingn
BayesComm:Bayesian Community Ecology Analysis
Bayesian multivariate binary (probit) regression models for analysis of ecological communities.
Maintained by Nick Golding. Last updated 9 years ago.
1.8 match 9 stars 4.35 score 25 scripts
wbnicholson
DTMCPack:Suite of Functions Related to Discrete-Time Discrete-State Markov Chains
A series of functions which aid in both simulating and determining the properties of finite, discrete-time, discrete state markov chains. Two functions (DTMC, MultDTMC) produce n iterations of a Markov Chain(s) based on transition probabilities and an initial distribution. The function FPTime determines the first passage time into each state. The function statdistr determines the stationary distribution of a Markov Chain.
Maintained by William Nicholson. Last updated 3 years ago.
4.5 match 1.71 score 32 scripts
dcoffman
tvmediation:Time Varying Mediation Analysis
Provides functions for estimating mediation effects that vary over time as described in Cai X, Coffman DL, Piper ME, Li R. Estimation and inference for the mediation effect in a time-varying mediation model. BMC Med Res Methodol. 2022;22(1):1-12.
Maintained by Donna Coffman. Last updated 3 years ago.
1.5 match 3 stars 4.95 score 4 scripts
wraysmith
caRecall:Government of Canada Vehicle Recalls Database API Wrapper
Provides API access to the Government of Canada Vehicle Recalls Database <https://tc.api.canada.ca/en/detail?api=VRDB> used by the Defect Investigations and Recalls Division for vehicles, tires, and child car seats. The API wrapper provides access to recall summary information searched using make, model, and year range, as well as detailed recall information searched using recall number.
Maintained by Nathan Smith. Last updated 4 years ago.
api-wrappervehicle-recalls-database
1.7 match 4 stars 4.60 score 2 scriptsropensci
phruta:Phylogenetic Reconstruction and Time-dating
The phruta R package is designed to simplify the basic phylogenetic pipeline. Specifically, all code is run within the same program and data from intermediate steps are saved in independent folders. Furthermore, all code is run within the same environment which increases the reproducibility of your analysis. phruta retrieves gene sequences, combines newly downloaded and local gene sequences, and performs sequence alignments.
Maintained by Cristian Roman Palacios. Last updated 9 months ago.
1.6 match 9 stars 4.75 score 14 scripts
tomaspinall
FKF.SP:Fast Kalman Filtering Through Sequential Processing
Fast and flexible Kalman filtering and smoothing implementation utilizing sequential processing, designed for efficient parameter estimation through maximum likelihood estimation. Sequential processing is a univariate treatment of a multivariate series of observations and can benefit from computational efficiency over traditional Kalman filtering when independence is assumed in the variance of the disturbances of the measurement equation. Sequential processing is described in the textbook of Durbin and Koopman (2001, ISBN:978-0-19-964117-8). 'FKF.SP' was built upon the existing 'FKF' package and is, in general, a faster Kalman filter/smoother.
Maintained by Thomas Aspinall. Last updated 5 months ago.
kalman-filterkalman-filteringmaximum-likelihood-estimationsequential-processingtime-series-analysisopenblas
1.5 match 2 stars 4.78 score 3 scripts 1 dependents
skyebend
networkDynamicData:Dynamic (Longitudinal) Network Datasets
A collection of dynamic network data sets from various sources and multiple authors represented as 'networkDynamic'-formatted objects.
Maintained by Skye Bender-deMoll. Last updated 9 years ago.
3.4 match 3 stars 2.07 score 39 scripts
hubverse-org
hubVis:Plotting methods for hub models output
Plotting methods for hub models output.
Maintained by Lucie Contamin. Last updated 4 months ago.
1.6 match 3 stars 4.44 score 22 scripts 1 dependents
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 6 months ago.
1.6 match 3 stars 4.27 score 262 scripts 4 dependents
kubdatalab
KUBDatalab:Add palettes, Themes and Utilities from KUB Datalab
More about what it does (maybe more than one line) Use four spaces when indenting paragraphs within the Description.
Maintained by The package maintainer. Last updated 11 months ago.
4.0 match 1 stars 1.70 score 1 scripts
vincenzocoia
igcop:Computational Tools for the IG and IGL Copula Families
Compute distributional quantities for an Integrated Gamma (IG) or Integrated Gamma Limit (IGL) copula, such as a cdf and density. Compute corresponding conditional quantities such as the cdf and quantiles. Generate data from an IG or IGL copula. See the vignette for formulas, or for a derivation, see Coia, V (2017) "Forecasting of Nonlinear Extreme Quantiles Using Copula Models." PhD Dissertation, The University of British Columbia.
Maintained by Vincenzo Coia. Last updated 6 months ago.
1.7 match 3.70 score 6 scriptsropensci
antanym:Antarctic Geographic Place Names
Antarctic geographic names from the Composite Gazetteer of Antarctica, and functions for working with those place names.
Maintained by Ben Raymond. Last updated 3 years ago.
antarcticsouthern oceanplace namesgazetteerpeer-reviewed
1.6 match 7 stars 3.89 score 22 scripts
mangothecat
bambooHR:A Wrapper to the 'BambooHR' API
Enables a user to consume the 'BambooHR' API endpoints using R. The actual URL of the API will depend on your company domain, and will be handled by the package automatically once you setup the config file. The API documentation can be found here <https://documentation.bamboohr.com/docs>.
Maintained by Tom Bowling. Last updated 1 years ago.
1.6 match 2 stars 3.78 score 5 scripts
wuqian77
TrialSize:R Functions for Chapter 3,4,6,7,9,10,11,12,14,15 of Sample Size Calculation in Clinical Research
Functions and Examples in Sample Size Calculation in Clinical Research.
Maintained by Vicky Qian Wu. Last updated 4 months ago.
1.6 match 3 stars 3.78 score 95 scripts 1 dependents
stla
monaco:The 'Monaco' Editor as a HTML Widget
A HTML widget rendering the 'Monaco' editor. The 'Monaco' editor is the code editor which powers 'VS Code'. It is particularly well developed for 'JavaScript'. In addition to the built-in features of the 'Monaco' editor, the widget allows to prettify multiple languages, to view the 'HTML' rendering of 'Markdown' code, and to view and resize 'SVG' images.
Maintained by Stéphane Laurent. Last updated 3 years ago.
htmlwidgetsmonaco-editorrstudio
1.5 match 12 stars 3.89 score 13 scriptsstla
shinyMonacoEditor:The 'Monaco' Editor in 'Shiny'
A 'Shiny' app including the 'Monaco' editor. The 'Monaco' editor is the code editor which powers 'VS Code'. It is particularly well developed for 'JavaScript'. In addition to the 'Monaco' editor features, the app provides prettifiers and minifiers for multiple languages, 'SCSS' and 'TypeScript' compilers, code checking for 'C' and 'C++' (requires 'cppcheck').
Maintained by Stéphane Laurent. Last updated 4 years ago.
1.5 match 15 stars 3.88 scorebioc
DirichletMultinomial:Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data
Dirichlet-multinomial mixture models can be used to describe variability in microbial metagenomic data. This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15, as discussed further in the man page for this package, ?DirichletMultinomial.
Maintained by Martin Morgan. Last updated 5 months ago.
immunooncologymicrobiomesequencingclusteringclassificationmetagenomicsgsl
0.5 match 11 stars 10.97 score 125 scripts 26 dependents
ubeattie
profrep:Profile Repeatability
Calculates profile repeatability for replicate stress response curves, or similar time-series data. Profile repeatability is an individual repeatability metric that uses the variances at each timepoint, the maximum variance, the number of crossings (lines that cross over each other), and the number of replicates to compute the repeatability score. For more information see Reed et al. (2019) <doi:10.1016/j.ygcen.2018.09.015>.
Maintained by Ursula K. Beattie. Last updated 1 years ago.
1.5 match 3.70 score
astroherring
repolr:Repeated Measures Proportional Odds Logistic Regression
Fits linear models to repeated ordinal scores using GEE methodology.
Maintained by Nick Parsons. Last updated 9 years ago.
3.8 match 1.36 score 23 scripts
falkcarl
pln:Polytomous Logit-Normit (Graded Logistic) Model Estimation
Performs bivariate composite likelihood and full information maximum likelihood estimation for polytomous logit-normit (graded logistic) item response theory (IRT) models.
Maintained by Carl F. Falk. Last updated 5 months ago.
1.8 match 2.70 score 3 scripts
cran
CALIBERrfimpute:Multiple Imputation Using MICE and Random Forest
Functions to impute using random forest under full conditional specifications (multivariate imputation by chained equations). The methods are described in Shah and others (2014) <doi:10.1093/aje/kwt312>.
Maintained by Anoop Shah. Last updated 2 years ago.
1.6 match 2 stars 2.60 score
wasquith
lmomco:L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments, and Many Distributions
Extensive functions for Lmoments (LMs) and probability-weighted moments (PWMs), distribution parameter estimation, LMs for distributions, LM ratio diagrams, multivariate Lcomoments, and asymmetric (asy) trimmed LMs (TLMs). Maximum likelihood and maximum product spacings estimation are available. Right-tail and left-tail LM censoring by threshold or indicator variable are available. LMs of residual (resid) and reversed (rev) residual life are implemented along with 13 quantile operators for reliability analyses. Exact analytical bootstrap estimates of order statistics, LMs, and LM var-covars are available. Harri-Coble Tau34-squared Normality Test is available. Distributions with L, TL, and added (+) support for right-tail censoring (RC) encompass: Asy Exponential (Exp) Power [L], Asy Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen) Exp Poisson [L], Gen Extreme Value [L], Gen Lambda [L, TL], Gen Logistic [L], Gen Normal [L], Gen Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Residual Quantile Function [L], Normal [L], 3p log-Normal [L], Pearson Type III [L], Polynomial Density-Quantile 3 and 4 [L], Rayleigh [L], Rev-Gumbel [L+RC], Rice [L], Singh Maddala [L], Slash [TL], 3p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L].
Maintained by William Asquith. Last updated 1 months ago.
flood-frequency-analysisl-momentsmle-estimationmps-estimationprobability-distributionrainfall-frequency-analysisreliability-analysisrisk-analysissurvival-analysis
0.5 match 2 stars 8.06 score 458 scripts 38 dependents
bmlmcmc
naspaclust:Nature-Inspired Spatial Clustering
Implement and enhance the performance of spatial fuzzy clustering using Fuzzy Geographically Weighted Clustering with various optimization algorithms, mainly from Xin She Yang (2014) <ISBN:9780124167438> with book entitled Nature-Inspired Optimization Algorithms. The optimization algorithm is useful to tackle the disadvantages of clustering inconsistency when using the traditional approach. The distance measurements option is also provided in order to increase the quality of clustering results. The Fuzzy Geographically Weighted Clustering with nature inspired optimisation algorithm was firstly developed by Arie Wahyu Wijayanto and Ayu Purwarianti (2014) <doi:10.1109/CITSM.2014.7042178> using Artificial Bee Colony algorithm.
Maintained by Bahrul Ilmi Nasution. Last updated 4 years ago.
1.7 match 2.00 scorecran
mpower:Power Analysis via Monte Carlo Simulation for Correlated Data
A flexible framework for power analysis using Monte Carlo simulation for settings in which considerations of the correlations between predictors are important. Users can set up a data generative model that preserves dependence structures among predictors given existing data (continuous, binary, or ordinal). Users can also generate power curves to assess the trade-offs between sample size, effect size, and power of a design. This package includes several statistical models common in environmental mixtures studies. For more details and tutorials, see Nguyen et al. (2022) <arXiv:2209.08036>.
Maintained by Phuc H. Nguyen. Last updated 2 years ago.
1.5 match 1 stars 1.70 score
nibortolum
GWlasso:Geographically Weighted Lasso
Performs geographically weighted Lasso regressions. Find optimal bandwidth, fit a geographically weighted lasso or ridge regression, and make predictions. These methods are specially well suited for ecological inferences. Bandwidth selection algorithm is from A. Comber and P. Harris (2018) <doi:10.1007/s10109-018-0280-7>.
Maintained by Matthieu Mulot. Last updated 4 months ago.
0.5 match 4.00 score 5 scriptscran
weightedScores:Weighted Scores Method for Regression Models with Dependent Data
The weighted scores method and composite likelihood information criteria as an intermediate step for variable/correlation selection for longitudinal ordinal and count data in Nikoloulopoulos, Joe and Chaganty (2011) <doi:10.1093/biostatistics/kxr005>, Nikoloulopoulos (2016) <doi:10.1002/sim.6871> and Nikoloulopoulos (2017) <arXiv:1510.07376>.
Maintained by Aristidis K. Nikoloulopoulos. Last updated 5 years ago.
1.7 match 1.18 score 15 scripts
cran
pAnalysis:Benchmarking and Rescaling R2 using Noise Percentile Analysis
Provides the tools needed to benchmark the R2 value corresponding to a certain acceptable noise level while also providing a rescaling function based on that noise level yielding a new value of R2 we refer to as R2k which is independent of both the number of degrees of freedom and the noise distribution function.
Maintained by Joseph G Kreke. Last updated 9 years ago.
1.6 match 1.04 score 11 scripts
javierdelahoz
GeoWeightedModel:User-Friendly Interface for Geographically-Weighted Models
Contains the development of a tool that provides a web-based graphical user interface (GUI) to perform Techniques from a subset of spatial statistics known as geographically weighted (GW) models. Contains methods described by Brunsdon et al., 1996 <doi:10.1111/j.1538-4632.1996.tb00936.x>, Brunsdon et al., 2002 <doi:10.1016/s0198-9715(01)00009-6>, Harris et al., 2011 <doi:10.1080/13658816.2011.554838>, Brunsdon et al., 2007 <doi:10.1111/j.1538-4632.2007.00709.x>.
Maintained by Javier De La Hoz Maestre. Last updated 1 years ago.
0.5 match 1 stars 1.00 score