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r-seasonal
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Easy-to-use interface to X-13-ARIMA-SEATS, the seasonal adjustment software by the US Census Bureau. It offers full access to almost all options and outputs of X-13, including X-11 and SEATS, automatic ARIMA model search, outlier detection and support for user defined holiday variables, such as Chinese New Year or Indian Diwali. A graphical user interface can be used through the 'seasonalview' package. Uses the X-13-binaries from the 'x13binary' package.
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2025-04-22 |
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r-seasic
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public |
This package conducts Score Equity Assessment (SEA; Dorans, 2004) by calculating and plotting multiple SEA indices as introduced by a variety of authors and summarized by Huggins and Penfield (2012).
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2025-04-22 |
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r-searcher
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public |
Provides a search interface to look up terms on 'Google', 'Bing', 'DuckDuckGo', 'Startpage', 'StackOverflow', 'RStudio Community', 'GitHub', and 'BitBucket'. Upon searching, a browser window will open with the aforementioned search results.
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2025-04-22 |
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r-searchable
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public |
Provides functionality for searching / subsetting and slicing named objects using 'stringr/i'-style modifiers by case (in)sensitivity, regular expressions or fixed expressions; searches uses the standard '[' operator and allows specification of default search behavior to either the search target (named object) and/or the search pattern.
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2025-04-22 |
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r-sealasso
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Standard error adjusted adaptive lasso (SEA-lasso) is a version of the adaptive lasso, which incorporates OLS standard error to the L1 penalty weight. This method is intended for variable selection under linear regression settings (n > p). This new weight assignment strategy is especially useful when the collinearity of the design matrix is a concern.
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2025-04-22 |
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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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2025-04-22 |
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r-sdt
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Functions for self-determination motivation theory (SDT) to compute measures of motivation internalization, motivation simplex structure, and of the original and adjusted self-determination or relative autonomy index. SDT was introduced by Deci and Ryan (1985) <doi:10.1007/978-1-4899-2271-7>. See package?SDT for an overview.
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2025-04-22 |
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r-sdmvspecies
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A software package help user to create virtual species for species distribution modelling. It includes several methods to help user to create virtual species distribution map. Those maps can be used for Species Distribution Modelling (SDM) study. SDM use environmental data for sites of occurrence of a species to predict all the sites where the environmental conditions are suitable for the species to persist, and may be expected to occur.
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2025-04-22 |
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r-sdm
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An extensible framework for developing species distribution models using individual and community-based approaches, generate ensembles of models, evaluate the models, and predict species potential distributions in space and time. For more information, please check the following paper: Naimi, B., Araujo, M.B. (2016) <doi:10.1111/ecog.01881>.
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2025-04-22 |
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r-sdef
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Performs two tests to evaluate if the experiments are associated and returns a list of interesting features common to all the experiments.
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2025-04-22 |
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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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2025-04-22 |
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r-sdcspatial
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Privacy protected raster maps can be created from spatial point data. Protection methods include smoothing of dichotomous variables by de Jonge and de Wolf (2016) <doi:10.1007/978-3-319-45381-1_9>, continuous variables by de Wolf and de Jonge (2018) <doi:10.1007/978-3-319-99771-1_23>, suppressing revealing values and a generalization of the quad tree method by Suñé, Rovira, Ibáñez and Farré (2017) <doi:10.2901/EUROSTAT.C2017.001>.
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2025-04-22 |
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r-sdaa
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public |
Functions and Datasets from Lohr, S. (1999), Sampling: Design and Analysis, Duxbury.
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2025-04-22 |
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r-scrt
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Design single-case phase, alternation and multiple-baseline experiments, and conduct randomization tests on data gathered by means of such designs, as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>.
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2025-04-22 |
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r-scrselect
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Contains four functions used in the DIC-tau_g procedure. SCRSELECT() and SCRSELECTRUN() uses Stochastic Search Variable Selection to select important covariates in the three hazard functions of a semi-competing risks model. These functions perform the Gibbs sampler for variable selection and a Metropolis-Hastings-Green sampler for the number of split points and parameters for the three baseline hazard function. The function SCRSELECT() returns the posterior sample of all quantities sampled in the Gibbs sampler after a burn-in period to a desired file location, while the function SCRSELECTRUN() returns posterior values of important quantities to the DIC-Tau_g procedure in a list. The function DICTAUG() returns a list containing the DIC values for the unique models visited by the DIC-Tau_g grid search. The function ReturnModel() uses SCRSELECTRUN() and DICTAUG() to return a summary of the posterior coefficient vectors for the optimal model along with saving this posterior sample to a desired path location.
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2025-04-22 |
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r-scrobbler
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'Last.fm'<https://www.last.fm> is a music platform focussed on building a detailed profile of a users listening habits. It does this by 'scrobbling' (recording) every track you listen to on other platforms ('spotify', 'youtube', 'soundcloud' etc) and transferring them to your 'Last.fm' database. This allows 'Last.fm' to act as a complete record of your entire listening history. 'scrobbler' provides helper functions to download and analyse your listening history in R.
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2025-04-22 |
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r-scripturs
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Full text, in data frames containing one row per verse, of the Standard Works of The Church of Jesus Christ of Latter-day Saints (LDS). These are the Old Testament, (KJV), the New Testament (KJV), the Book of Mormon, the Doctrine and Covenants, and the Pearl of Great Price.
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2025-04-22 |
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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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2025-04-22 |
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r-scriptexec
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Run complex native scripts with a single command, similar to system commands.
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2025-04-22 |
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r-scriptests
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Support for using .Rt (transcript) tests in the tests directory of a package. Provides more convenience and features than the standard .R/.Rout.save tests. Tests can be run under R CMD check and also interactively. Provides source.pkg() for quickly loading code, DLLs, and data from a package for use in an edit/compile/test development cycle.
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2025-04-22 |
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r-scrime
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Tools for the analysis of high-dimensional data developed/implemented at the group "Statistical Complexity Reduction In Molecular Epidemiology" (SCRIME). Main focus is on SNP data. But most of the functions can also be applied to other types of categorical data.
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2025-04-22 |
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r-screenclean
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Routines for a collection of screen-and-clean type variable selection procedures, including UPS and GS.
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2025-04-22 |
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r-scraper
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Tools for Scraping Data from Web-Based Documents
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2025-04-22 |
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r-scraep
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A utility to webscrape the in-house careers of members of the European parliament, from its website <http://www.europarl.europa.eu>.
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2025-04-22 |
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r-scrabblescore
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Given a word will produce that word's scrabble score. Unlike many naive implementations this package takes into consideration the distribution of letter in scrabble. So a word like 'zzz' will be scored '10' rather than '30'.
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2025-04-22 |
