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r-sdtoolkit
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Implements algorithms to help with scenario discovery - currently only modified version of the the Patient Rule Induction Method.
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2023-06-16 |
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r-scriptname
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A small set of functions wrapping up the call stack and command line inspection needed to determine a running script's filename from within the script itself.
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2023-06-16 |
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r-samplesizemeans
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A set of R functions for calculating sample size requirements using three different Bayesian criteria in the context of designing an experiment to estimate a normal mean or the difference between two normal means. Functions for calculation of required sample sizes for the Average Length Criterion, the Average Coverage Criterion and the Worst Outcome Criterion in the context of normal means are provided. Functions for both the fully Bayesian and the mixed Bayesian/likelihood approaches are provided.
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2023-06-16 |
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r-sparsebnutils
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A set of tools for representing and estimating sparse Bayesian networks from continuous and discrete data, as described in Aragam, Gu, and Zhou (2017) <arXiv:1703.04025>.
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2023-06-16 |
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r-spanel
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Fit the spatial panel data models: the fixed effects, random effects and between models.
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2023-06-16 |
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r-spa3g
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The package implements the model-based kernel machine method for detecting gene-centric gene-gene interactions of Li and Cui (2012).
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2023-06-16 |
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r-sortablehtmltables
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SortableHTMLTables writes a data frame to an HTML file that contains a sortable table. The sorting is done using the jQuery plugin Tablesorter. The appearance is controlled through a CSS file and several GIF's.
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2023-06-16 |
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r-socialposition
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Provides to sociologists (and related scientists) a toolbox to facilitate the construction of social position indicators from survey data. Social position indicators refer to what is commonly known as social class and social status. There exists in the sociological literature many theoretical conceptualisation and empirical operationalization of social class and social status. This first version of the package offers tools to construct the International Socio-Economic Index of Occupational Status (ISEI) and the Oesch social class schema. It also provides tools to convert several occupational classifications (PCS82, PCS03, and ISCO08) into a common one (ISCO88) to facilitate data harmonisation work, and tools to collapse (i.e. group) modalities of social position indicators.
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2023-06-16 |
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r-snakecase
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A consistent, flexible and easy to use tool to parse and convert strings into cases like snake or camel among others.
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2023-06-16 |
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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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2023-06-16 |
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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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2023-06-16 |
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r-sitree
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Forecasts plots at tree level.
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2023-06-16 |
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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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2023-06-16 |
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r-sigclust
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SigClust is a statistical method for testing the significance of clustering results. SigClust can be applied to assess the statistical significance of splitting a data set into two clusters. For more than two clusters, SigClust can be used iteratively.
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2023-06-16 |
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r-shinylp
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Provides functions that wrap HTML Bootstrap components code to enable the design and layout of informative landing home pages for Shiny applications. This can lead to a better user experience for the users and writing less HTML for the developer.
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2023-06-16 |
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r-shinyjqui
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An extension to shiny that brings interactions and animation effects from 'jQuery UI' library.
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2023-06-16 |
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r-setter
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Mutators to set attributes of variables, that work well in a pipe (much like stats::setNames()).
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2023-06-16 |
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r-setrng
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SetRNG provides utilities to help set and record the setting of the seed and the uniform and normal generators used when a random experiment is run. The utilities can be used in other functions that do random experiments to simplify recording and/or setting all the necessary information for reproducibility. See the vignette and reference manual for examples.
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2023-06-16 |
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r-sensitivityfull
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Sensitivity to unmeasured biases in an observational study that is a full match. Function senfm() performs tests and function senfmCI() creates confidence intervals. The method uses Huber's M-statistics, including least squares, and is described in Rosenbaum (2007, Biometrics) <DOI:10.1111/j.1541-0420.2006.00717.x>.
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2023-06-16 |
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r-seleniumpipes
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The W3C WebDriver specification defines a way for out-of-process programs to remotely instruct the behaviour of web browsers. It is detailed at <https://w3c.github.io/webdriver/webdriver-spec.html>. This package provides an R client implementing the W3C specification.
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2023-06-16 |
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r-seermapperregs
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Provides supplemental 2000 census tract boundaries for the 15 states containing Seer Registries for use with the 'SeerMapper' package. The data contained in this package is derived from U. S. Census data and is in the public domain.
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2023-06-16 |
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r-sddpack
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The semidiscrete decomposition (SDD) approximates a matrix as a weighted sum of outer products formed by vectors with entries constrained to be in the set {-1, 0, 1}.
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2023-06-16 |
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r-scbmeanfd
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Statistical methods for estimating and inferring the mean of functional data. The methods include simultaneous confidence bands, local polynomial fitting, bandwidth selection by plug-in and cross-validation, goodness-of-fit tests for parametric models, equality tests for two-sample problems, and plotting functions.
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2023-06-16 |
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r-scatterplot3d
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Plots a three dimensional (3D) point cloud.
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2023-06-16 |
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r-sportsanalytics
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The aim of this package is to provide infrastructure for sports analysis. Anyway, currently it is a selection of data sets, functions to fetch sports data, examples, and demos -- with the ambition to develop bit by bit a set of classes to represent general concepts of sports analysis.
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2023-06-16 |
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r-speedglm
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Fitting linear models and generalized linear models to large data sets by updating algorithms.
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2023-06-16 |
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r-specdetec
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Calculate change point based on spectral clustering with the option to automatically calculate the number of clusters if this information is not available.
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2023-06-16 |
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r-sparsemse
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Implements the routines and algorithms developed and analysed in "Multiple systems estimation for Sparse Capture Data: Inferential Challenges when there are Non-Overlapping Lists" Chan, L, Silverman, B. W., Vincent, K (2019) <arXiv:1902.05156>. This package explicitly handles situations where there are pairs of lists which have no observed individuals in common.
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2023-06-16 |
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r-spar
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This package performs robust nonparametric tests for rare variants association analysis using summation of partition approaches that incorporate gene-gene and gene-environmental interactions
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2023-06-16 |
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r-sotu
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The President of the United States is constitutionally obligated to provide a report known as the 'State of the Union'. The report summarizes the current challenges facing the country and the president's upcoming legislative agenda. While historically the State of the Union was often a written document, in recent decades it has always taken the form of an oral address to a joint session of the United States Congress. This package provides the raw text from every such address with the intention of being used for meaningful examples of text analysis in R. The corpus is well suited to the task as it is historically important, includes material intended to be read and material intended to be spoken, and it falls in the public domain. As the corpus spans over two centuries it is also a good test of how well various methods hold up to the idiosyncrasies of historical texts. Associated data about each address, such as the year, president, party, and format, are also included.
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2023-06-16 |
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r-sn
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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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2023-06-16 |
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r-shotgroups
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Analyzes shooting data with respect to group shape, precision, and accuracy. This includes graphical methods, descriptive statistics, and inference tests using standard, but also non-parametric and robust statistical methods. Implements distributions for radial error in bivariate normal variables. Works with files exported by 'OnTarget PC/TDS', 'Silver Mountain' e-target, 'ShotMarker' e-target, or 'Taran', as well as with custom data files in text format. Supports inference from range statistics like extreme spread. Includes a set of web-based graphical user interfaces.
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2023-06-16 |
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r-shipunov
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A collection of functions for data manipulation, plotting and statistical computing, to use separately or with the book "Visual Statistics. Use R!": Shipunov (2019) <http://ashipunov.info/shipunov/software/r/r-en.htm>. Most useful functions are probably Bclust(), Jclust() and BootA() which bootstrap hierarchical clustering; Recode...() which multiple recode in a fast, flexible and simple way; Misclass() which outputs confusion matrix even if classes are not concerted; Overlap() which calculates overlaps of convex hulls from any projection; and Pleiad() which is fast and flexible correlogram. In fact, there are much more useful functions, please see documentation.
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2023-06-16 |
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r-shinydnd
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Add functionality to create drag and drop div elements in shiny.
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2023-06-16 |
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r-shapechange
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In a scatterplot where the response variable is Gaussian, Poisson or binomial, we consider the case in which the mean function is smooth with a change-point, which is a mode, an inflection point or a jump point. The main routine estimates the mean curve and the change-point as well using shape-restricted B-splines. An optional subroutine delivering a bootstrap confidence interval for the change-point is incorporated in the main routine.
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2023-06-16 |
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r-servr
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Start an HTTP server in R to serve static files, or dynamic documents that can be converted to HTML files (e.g., R Markdown) under a given directory.
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2023-06-16 |
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r-sensitivitymv
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The package performs a sensitivity analysis in an observational study using an M-statistic, for instance, the mean. The main function in the package is senmv(), but amplify() and truncatedP() are also useful. The method is developed in Rosenbaum Biometrics, 2007, 63, 456-464, <doi:10.1111/j.1541-0420.2006.00717.x>.
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2023-06-16 |
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r-selemix
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Detection of outliers and influential errors using a latent variable model.
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2023-06-16 |
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r-scoring
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Evaluating probabilistic forecasts via proper scoring rules. scoring implements the beta, power, and pseudospherical families of proper scoring rules, along with ordered versions of the latter two families. Included among these families are popular rules like the Brier (quadratic) score, logarithmic score, and spherical score. For two-alternative forecasts, also includes functionality for plotting scores that one would obtain under specific scoring rules.
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2023-06-16 |
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r-scico
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Colour choice in information visualisation is important in order to avoid being mislead by inherent bias in the used colour palette. The 'scico' package provides access to the perceptually uniform and colour-blindness friendly palettes developed by Fabio Crameri and released under the "Scientific Colour-Maps" moniker. The package contains 24 different palettes and includes both diverging and sequential types.
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2023-06-16 |
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r-samplingdatacrt
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Package provides the possibility to sampling complete datasets from a normal distribution to simulate cluster randomized trails for different study designs.
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2023-06-16 |
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r-samplesizelogisticcasecontrol
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To determine sample size for case-control studies to be analyzed using logistic regression.
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2023-06-16 |
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r-spsl
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Provides basic functionality for labeling iso- & anisotropic percolation clusters on 2D & 3D square lattices with various lattice sizes, occupation probabilities, von Neumann & Moore (1,d)-neighborhoods, and random variables weighting the percolation lattice sites.
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2023-06-16 |
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r-spongebob
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Convert text (and text in R objects) to Mocking SpongeBob case <https://knowyourmeme.com/memes/mocking-spongebob> and show them off in fun ways. CoNVErT TexT (AnD TeXt In r ObJeCtS) To MOCkINg SpoNgebOb CAsE <https://knowyourmeme.com/memes/mocking-spongebob> aND shOw tHem OFf IN Fun WayS.
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2023-06-16 |
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r-splines2
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Constructs B-splines and its integral, monotone splines (M-splines) and its integral (I-splines), convex splines (C-splines), and their derivatives of given order. Piecewise constant basis is allowed for B-splines and M-splines. See De Boor (1978) <doi:10.1002/zamm.19800600129>, Ramsay (1988) <doi:10.1214/ss/1177012761>, and Meyer (2008) <doi:10.1214/08-AOAS167> for more information.
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2023-06-16 |
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r-spin
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An optimal weighting strategy to compute simulation-efficient shortest probability intervals (spins).
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2023-06-16 |
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r-speccalt
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Alternative to the kernlab::specc function. Includes a spectral clustering implementation, a locally adapted kernel function akin to what is already proposed in kernlab, and an optional procedure that automatically estimates the optimal number of clusters. Several sample data sets are also included.
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2023-06-16 |
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r-spcalda
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A new reduced-rank LDA method which works for high dimensional multi-class data.
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2023-06-16 |
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r-spacesxyz
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Functions for converting among CIE XYZ, xyY, Lab, and Luv. The XYZs of some standard illuminants and some standard linear chromatic adaptation transforms (CATs) are included. Compute CCT and the Planckian and daylight loci. Three different standard color difference metrics are included.
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2023-06-16 |
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r-sotkanet
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Access data from the sotkanet open data portal <https://www.sotkanet.fi/sotkanet/fi/index>.
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2023-06-16 |
