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r-sn
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public |
Build and manipulate probability distributions of the skew-normal family and some related ones, notably the skew-t family, and provide related statistical methods for data fitting and model diagnostics, in the univariate and the multivariate case.
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2025-03-25 |
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r-smvar
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Implements the structural model for variances in order to detect differentially expressed genes from gene expression data
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2025-03-25 |
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r-smss
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Datasets used in "Statistical Methods for the Social Sciences" (SMSS) by Alan Agresti and Barbara Finlay.
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2025-03-25 |
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r-sms
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Produce small area population estimates by fitting census data to survey data.
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2025-03-25 |
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r-smr
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Computes the studentized midrange distribution (pdf, cdf and quantile) and generates random numbers
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2025-03-25 |
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r-smpracticals
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Contains the datasets and a few functions for use with the practicals outlined in Appendix A of the book Statistical Models (Davison, 2003, Cambridge University Press). The practicals themselves can be found at <http://statwww.epfl.ch/davison/SM/>.
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2025-03-25 |
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r-smoothmest
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Some M-estimators for 1-dimensional location (Bisquare, ML for the Cauchy distribution, and the estimators from application of the smoothing principle introduced in Hampel, Hennig and Ronchetti (2011) to the above, the Huber M-estimator, and the median, main function is smoothm), and Pitman estimator.
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2025-03-25 |
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r-smoothie
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Functions to smooth two-dimensional fields using FFT and the convolution theorem
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2025-03-25 |
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r-smoothhr
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Provides flexible hazard ratio curves allowing non-linear relationships between continuous predictors and survival. To better understand the effects that each continuous covariate has on the outcome, results are ex pressed in terms of hazard ratio curves, taking a specific covariate value as reference. Confidence bands for these curves are also derived.
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2025-03-25 |
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r-smoother
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A collection of methods for smoothing numerical data, commencing with a port of the Matlab gaussian window smoothing function. In addition, several functions typically used in smoothing of financial data are included.
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2025-03-25 |
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r-smloutliers
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Local Correlation Integral (LOCI) method for outlier identification is implemented here. The LOCI method developed here is invented in Breunig, et al. (2000), see <doi:10.1145/342009.335388>.
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2025-03-25 |
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r-smithwilsonyieldcurve
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Constructs a yield curve by the Smith-Wilson method from a table of LIBOR and SWAP rates
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2025-03-25 |
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r-smirnov
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This tiny package contains one function smirnov() which calculates two scaled taxonomic coefficients, Txy (coefficient of similarity) and Txx (coefficient of originality). These two characteristics may be used for the analysis of similarities between any number of taxonomic groups, and also for assessing uniqueness of giving taxon. It is possible to use smirnov() output as a distance measure: convert it to distance by "as.dist(1 - smirnov(x))".
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2025-03-25 |
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r-smfilter
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Provides the filtering algorithms for the state space models on the Stiefel manifold as well as the corresponding sampling algorithms for uniform, vector Langevin-Bingham and matrix Langevin-Bingham distributions on the Stiefel manifold.
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2025-03-25 |
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r-smdata
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public |
Contains data files to accompany Smithson & Merkle (2013), Generalized Linear Models for Categorical and Continuous Limited Dependent Variables.
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2025-03-25 |
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r-smcure
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An R-package for Estimating Semiparametric PH and AFT Mixture Cure Models
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2025-03-25 |
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r-smcrm
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Data Sets for Kumar and Petersen (2012). Statistical Methods in Customer Relationship Management, Wiley: New York.
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2025-03-25 |
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r-smco
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This package is for optimizing non-linear complex functions based on Monte Carlo random sampling.
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2025-03-25 |
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r-smcfcs
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Implements multiple imputation of missing covariates by Substantive Model Compatible Fully Conditional Specification. This is a modification of the popular FCS/chained equations multiple imputation approach, and allows imputation of missing covariate values from models which are compatible with the user specified substantive model.
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2025-03-25 |
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r-smatr
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Methods for fitting bivariate lines in allometry using the major axis (MA) or standardised major axis (SMA), and for making inferences about such lines. The available methods of inference include confidence intervals and one-sample tests for slope and elevation, testing for a common slope or elevation amongst several allometric lines, constructing a confidence interval for a common slope or elevation, and testing for no shift along a common axis, amongst several samples. See Warton et al. 2012 <doi:10.1111/j.2041-210X.2011.00153.x> for methods description.
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2025-03-25 |
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r-smartsizer
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A set of tools for determining the necessary sample size in order to identify the optimal dynamic treatment regime in a sequential, multiple assignment, randomized trial (SMART). Utilizes multiple comparisons with the best methodology to adjust for multiple comparisons. Designed for an arbitrary SMART design. Please see Artman (2018) <arXiv:1804.04587> for more details.
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2025-03-25 |
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r-smallarea
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Inference techniques for Fay Herriot Model.
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2025-03-25 |
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r-slouch
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An implementation of a phylogenetic comparative method. It can fit univariate among-species Ornstein-Uhlenbeck models of phenotypic trait evolution, where the trait evolves towards a primary optimum. The optimum can be modelled as a single parameter, as multiple discrete regimes on the phylogenetic tree, and/or with continuous covariates. See also Hansen (1997) doi:10.2307/2411186, Butler & King (2004) doi:10.1086/426002, Hansen et al. (2008) doi:10.1111/j.1558-5646.2008.00412.x.
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2025-03-25 |
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r-slippymath
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Provides functions for performing common tasks when working with slippy map tile service APIs e.g. Google maps, Open Street Map, Mapbox, Stamen, among others. Functionality includes converting from latitude and longitude to tile numbers, determining tile bounding boxes, and compositing tiles to a georeferenced raster image.
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2025-03-25 |
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r-slim
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Fits singular linear models to longitudinal data. Singular linear models are useful when the number, or timing, of longitudinal observations may be informative about the observations themselves. They are described in Farewell (2010) <doi:10.1093/biomet/asp068>, and are extensions of the linear increments model <doi:10.1111/j.1467-9876.2007.00590.x> to general longitudinal data.
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2025-03-25 |
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r-slideview
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Create a side-by-side view of raster(image)s with an interactive slider to switch between regions of the images. This can be especially useful for image comparison of the same region at different time stamps.
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2025-03-25 |
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r-slide
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This statistical method uses the nearest neighbor algorithm to estimate absolute distances between single cells based on a chosen constellation of surface proteins, with these distances being a measure of the similarity between the two cells being compared. Based on Sen, N., Mukherjee, G., and Arvin, A.M. (2015) <DOI:10.1016/j.ymeth.2015.07.008>.
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2025-03-25 |
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r-slickr
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Create and customize interactive carousels using the 'Slick' JavaScript library and the 'htmlwidgets' package. The carousels can contain plots produced in R, images, 'iframes', videos and other 'htmlwidgets'. These carousels can be used directly from the R console, from 'RStudio', in Shiny apps and R Markdown documents.
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2025-03-25 |
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r-sleuth3
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Data sets from Ramsey, F.L. and Schafer, D.W. (2013), "The Statistical Sleuth: A Course in Methods of Data Analysis (3rd ed)", Cengage Learning.
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2025-03-25 |
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r-sleuth2
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Data sets from Ramsey, F.L. and Schafer, D.W. (2002), "The Statistical Sleuth: A Course in Methods of Data Analysis (2nd ed)", Duxbury.
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2025-03-25 |
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r-sleepr
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Use behavioural variables to score activity and infer sleep from bouts of immobility. It is primarily designed to score sleep in fruit flies from Drosophila Activity Monitor (TriKinetics) and Ethoscope data. It implements sleep scoring using the "five-minute rule" (Hendricks et al. (2000) <DOI:10.1016/S0896-6273(00)80877-6>), activity classification for Ethoscopes (Geissmann et al. (2017) <DOI:10.1371/journal.pbio.2003026>) and a new algorithm to detect when animals are dead.
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2025-03-25 |
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r-sleekts
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Compute Time series Resistant Smooth 4253H, twice smoothing method.
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2025-03-25 |
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r-sldassay
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Calculates maximum likelihood estimate, exact and asymptotic confidence intervals, and exact and asymptotic goodness of fit p-values for concentration of infectious units from serial limiting dilution assays. This package uses the likelihood equation, exact goodness of fit p-values, and exact confidence intervals described in Meyers et al. (1994) <http://jcm.asm.org/content/32/3/732.full.pdf>. This software is also implemented as a web application through the Shiny R package <https://iupm.shinyapps.io/sldassay/>.
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2025-03-25 |
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r-slc
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Estimates the slope and level change present in data after removing phase A trend. Represents graphically the original and the detrended data.
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2025-03-25 |
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r-skywatchr
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Query and download satellite imagery and climate/atmospheric datasets using the SkyWatch API. Search datasets by wavelength (band), cloud cover, resolution, location, date, etc. Get the query results as data frame and as HTML. To learn more about the SkyWatch API, see <https://github.com/skywatchspaceapps/api>.
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2025-03-25 |
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r-skmeans
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Algorithms to compute spherical k-means partitions. Features several methods, including a genetic and a fixed-point algorithm and an interface to the CLUTO vcluster program.
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2025-03-25 |
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r-skewt
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Density, distribution function, quantile function and random generation for the skewed t distribution of Fernandez and Steel.
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2025-03-25 |
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r-skellam
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Functions for the Skellam distribution, including: density (pmf), cdf, quantiles and regression.
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2025-03-25 |
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r-skeletor
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A tool for bootstrapping new packages with useful defaults, including a test suite outline that passes checks and helpers for running tests, checking test coverage, building vignettes, and more. Package skeletons it creates are set up for pushing your package to 'GitHub' and using other hosted services for building and test automation.
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2025-03-25 |
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r-sjdbc
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Provides a database-independent JDBC interface.
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2025-03-25 |
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r-sizer
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Calculates and plots the SiZer map for scatterplot data. A SiZer map is a way of examining when the p-th derivative of a scatterplot-smoother is significantly negative, possibly zero or significantly positive across a range of smoothing bandwidths.
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2025-03-25 |
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r-sitree
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Forecasts plots at tree level.
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2025-03-25 |
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r-sitools
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Format a number (or a list of numbers) to a string (or a list of strings) with SI prefix. Use SI prefixes as constants like (4 * milli)^2
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2025-03-25 |
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r-sisvive
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Selects invalid instruments amongst a candidate of potentially bad instruments. The algorithm selects potentially invalid instruments and provides an estimate of the causal effect between exposure and outcome.
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2025-03-25 |
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r-sirad
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Calculating daily global solar radiation at horizontal surface using several well-known models (i.e. Angstrom-Prescott, Supit-Van Kappel, Hargreaves, Bristow and Campbell, and Mahmood-Hubbard), and model calibration based on ground-truth data, and (3) model auto-calibration. The FAO Penmann-Monteith equation to calculate evapotranspiration is also included.
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2025-03-25 |
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r-sinib
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Density, distribution function, quantile function and random generation for the sum of independent non-identical binomial distribution with parameters \code{size} and \code{prob}.
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2025-03-25 |
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r-sinaplot
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The sinaplot is a data visualization chart suitable for plotting any single variable in a multiclass data set. It is an enhanced jitter strip chart, where the width of the jitter is controlled by the density distribution of the data within each class.
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2025-03-25 |
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r-sin
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This package provides routines to perform SIN model selection as described in Drton & Perlman (2004, 2008). The selected models are represented in the format of the 'ggm' package, which allows in particular parameter estimation in the selected model.
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2025-03-25 |
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r-simule
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This is an R implementation of a constrained l1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models (SIMULE). The SIMULE algorithm can be used to estimate multiple related precision matrices. For instance, it can identify context-specific gene networks from multi-context gene expression datasets. By performing data-driven network inference from high-dimensional and heterogenous data sets, this tool can help users effectively translate aggregated data into knowledge that take the form of graphs among entities. Please run demo(simuleDemo) to learn the basic functions provided by this package. For further details, please read the original paper: Beilun Wang, Ritambhara Singh, Yanjun Qi (2017) <DOI:10.1007/s10994-017-5635-7>.
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2025-03-25 |
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r-simulator
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A framework for performing simulations such as those common in methodological statistics papers. The design principles of this package are described in greater depth in Bien, J. (2016) "The simulator: An Engine to Streamline Simulations," which is available at <http://faculty.bscb.cornell.edu/~bien/simulator.pdf>.
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2025-03-25 |
