|
r-sn
|
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.
|
2025-04-22 |
|
r-smvar
|
public |
Implements the structural model for variances in order to detect differentially expressed genes from gene expression data
|
2025-04-22 |
|
r-smss
|
public |
Datasets used in "Statistical Methods for the Social Sciences" (SMSS) by Alan Agresti and Barbara Finlay.
|
2025-04-22 |
|
r-sms
|
public |
Produce small area population estimates by fitting census data to survey data.
|
2025-04-22 |
|
r-smr
|
public |
Computes the studentized midrange distribution (pdf, cdf and quantile) and generates random numbers
|
2025-04-22 |
|
r-smpracticals
|
public |
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/>.
|
2025-04-22 |
|
r-smoothmest
|
public |
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.
|
2025-04-22 |
|
r-smoothie
|
public |
Functions to smooth two-dimensional fields using FFT and the convolution theorem
|
2025-04-22 |
|
r-smoothhr
|
public |
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.
|
2025-04-22 |
|
r-smoother
|
public |
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.
|
2025-04-22 |
|
r-smloutliers
|
public |
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>.
|
2025-04-22 |
|
r-smithwilsonyieldcurve
|
public |
Constructs a yield curve by the Smith-Wilson method from a table of LIBOR and SWAP rates
|
2025-04-22 |
|
r-smirnov
|
public |
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))".
|
2025-04-22 |
|
r-smfilter
|
public |
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.
|
2025-04-22 |
|
r-smdata
|
public |
Contains data files to accompany Smithson & Merkle (2013), Generalized Linear Models for Categorical and Continuous Limited Dependent Variables.
|
2025-04-22 |
|
r-smcure
|
public |
An R-package for Estimating Semiparametric PH and AFT Mixture Cure Models
|
2025-04-22 |
|
r-smcrm
|
public |
Data Sets for Kumar and Petersen (2012). Statistical Methods in Customer Relationship Management, Wiley: New York.
|
2025-04-22 |
|
r-smco
|
public |
This package is for optimizing non-linear complex functions based on Monte Carlo random sampling.
|
2025-04-22 |
|
r-smcfcs
|
public |
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.
|
2025-04-22 |
|
r-smatr
|
public |
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.
|
2025-04-22 |
|
r-smartsizer
|
public |
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.
|
2025-04-22 |
|
r-smallarea
|
public |
Inference techniques for Fay Herriot Model.
|
2025-04-22 |
|
r-slouch
|
public |
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.
|
2025-04-22 |
|
r-slippymath
|
public |
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.
|
2025-04-22 |
|
r-slim
|
public |
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.
|
2025-04-22 |
