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r-usdm
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This is a framework that aims to provide methods and tools for assessing the impact of different sources of uncertainties (e.g.positional uncertainty) on performance of species distribution models (SDMs).)
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2023-06-16 |
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r-unvotes
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Historical voting data of the United Nations General Assembly. This includes votes for each country in each roll call, as well as descriptions and topic classifications for each vote.
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2023-06-16 |
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r-unf
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Computes a universal numeric fingerprint (UNF) for an R data object. UNF is a cryptographic hash or signature that can be used to uniquely identify (a version of) a rectangular dataset, or a subset thereof. UNF can be used, in tandem with a DOI, to form a persistent citation to a versioned dataset.
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2023-06-16 |
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r-twiddler
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Twiddler is an interactive tool that automatically creates a Tcl/Tk GUI for manipulating variables in any R expression. See the documentation of the function twiddle to get started.
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2023-06-16 |
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r-translation.ko
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R version 2.1.0 and later support Korean translations of program messages. The continuous efforts have been made by <http://developer.r-project.org/TranslationTeams.html> The R Documentation files are licensed under the General Public License, version 2 or 3. This means that the pilot project to translate them into Korean has permission to reproduce them and translate them. This work is done with GNU 'gettext' utilities. The portable object template is updated a weekly basis or whenever changes are necessary. Comments and corrections via email to the maintainer is of course most welcome. In order to voluntarily participate in or offer your help with this translation, please contact the maintainer. To check the change and progress of Korean translation, please visit <http://www.openstatistics.net>.
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2023-06-16 |
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r-trampr
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Matching terminal restriction fragment length polymorphism ('TRFLP') profiles between unknown samples and a database of known samples. TRAMPR facilitates analysis of many unknown profiles at once, and provides tools for working directly with electrophoresis output through to generating summaries suitable for community analyses with R's rich set of statistical functions. TRAMPR also resolves the issues of multiple 'TRFLP' profiles within a species, and shared 'TRFLP' profiles across species.
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2023-06-16 |
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r-tm.plugin.europresse
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Provides a 'tm' Source to create corpora from articles exported from the 'Europresse' content provider as HTML files. It is able to read both text content and meta-data information (including source, date, title, author and pages).
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2023-06-16 |
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r-timevtree
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Estimates time varying regression effects under Cox type models in survival data using classification and regression tree. The codes in this package were originally written in S-Plus for the paper "Survival Analysis with Time-Varying Regression Effects Using a Tree-Based Approach," by Xu, R. and Adak, S. (2002) <doi:10.1111/j.0006-341X.2002.00305.x>, Biometrics, 58: 305-315. Development of this package was supported by NIH grants AG053983 and AG057707, and by the UCSD Altman Translational Research Institute, NIH grant UL1TR001442. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The example data are from the Honolulu Heart Program/Honolulu Asia Aging Study (HHP/HAAS).
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2023-06-16 |
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r-timevis
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Create rich and fully interactive timeline visualizations. Timelines can be included in Shiny apps and R markdown documents, or viewed from the R console and 'RStudio' Viewer. 'timevis' includes an extensive API to manipulate a timeline after creation, and supports getting data out of the visualization into R. Based on the 'vis.js' Timeline module and the 'htmlwidgets' R package.
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2023-06-16 |
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r-thresholdroc
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Functions that provide point and interval estimations of optimum thresholds for continuous diagnostic tests. The methodology used is based on minimizing an overall cost function in the two- and three-state settings. The package also provides functions for sample size determination and estimation of diagnostic accuracy measures. It also includes graphical tools.
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2023-06-16 |
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r-tggd
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Density, distribution function, quantile function and random generation for the Truncated Generalised Gamma Distribution (also in log10(x) and ln(x) space).
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2023-06-16 |
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r-testequavar
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Tests the hypothesis that variances are homogeneous or not using bootstrap. The procedure uses a variance-based statistic, and is derived from a normal-theory test. The test equivalently expressed the hypothesis as a function of the log contrasts of the population variances. A box-type acceptance region is constructed to test the hypothesis. See Cahoy (2010) <doi:10.1016/j.csda.2010.04.012>.
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2023-06-16 |
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r-teraplusb
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This package is for the comparison of various types of A+B escalation rules for dose finding trials.
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2023-06-16 |
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r-tempcyclesdata
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This is the data companion package to the package tempcycles. This package includes the metadata, linear, and cycling parameters from "Recent geographic convergence in diurnal and annual temperature cycling flattens global thermal profiles", Wang & Dillon, Nature Climate Change, 4, 988-992 (2014). doi:10.1038/nclimate2378.
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2023-06-16 |
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r-tapkee
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Wrapper for using 'tapkee' command line utility, it allows to run it from inside R and catch the results for further analysis and plotting. 'Tapkee' is a program for fast dimension reduction (see <http://tapkee.lisitsyn.me/> for more details).
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2023-06-16 |
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r-tabulizerjars
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'Java' .jar files for the 'Tabula' <http://tabula.technology/> 'Java' library, which are required by the 'tabulizer' R package. The version numbering of this package corresponds to versions of 'tabula-java' library releases <https://github.com/tabulapdf/tabula-java/releases/>.
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2023-06-16 |
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r-stochprofml
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This is an R package accompanying the paper "Parameterizing cell-to-cell regulatory heterogeneities via stochastic transcriptional profiles" by Sameer S Bajikar, Christiane Fuchs, Andreas Roller, Fabian J Theis and Kevin A Janes (PNAS 2014, 111(5), E626-635). In this paper, we measure expression profiles from small heterogeneous populations of cells, where each cell is assumed to be from a mixture of lognormal distributions. We perform maximum likelihood estimation in order to infer the mixture ratio and the parameters of these lognormal distributions from the cumulated expression measurements.
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2023-06-16 |
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r-statmeasures
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Offers useful functions to perform day-to-day data manipulation operations, data quality checks and post modelling statistical checks. One can effortlessly change class of a number of variables to factor, remove duplicate observations from the data, create deciles of a variable, perform data quality checks for continuous (integer or numeric), categorical (factor) and date variables, and compute goodness of fit measures such as auc for statistical models. The functions are consistent for objects of class 'data.frame' and 'data.table', which is an enhanced 'data.frame' implemented in the package 'data.table'.
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2023-06-16 |
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r-unittest
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Concise TAP <http://testanything.org/> compliant unit testing package. Authored tests can be run using CMD check with minimal implementation overhead.
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2023-06-16 |
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r-unitedr
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United is a software tool which can be downloaded at the following website <http://www.schroepl.net/pbm/software/united/>. In general, it is a virtual manager game for football teams. This package contains helpful functions for determining an optimal formation for a virtual match in United. E.g. knowing that the opponent has a strong defensive it is advisable to beat him in the midfield. Furthermore, this package contains functions for computing the optimal usage of hardness in a game.
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2023-06-16 |
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r-ttwa
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This package makes Travel To Work Area from a commuting flow data frame.
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2023-06-16 |
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r-tsdata
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Illustrates the various 'TSdbi' packages with a vignette using time series data from several sources. The vignette also illustrates some simple time series manipulation and plotting using packages 'tframe' and 'tfplot'.
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2023-06-16 |
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r-trycatchlog
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Advanced tryCatch() and try() functions for better error handling (logging, stack trace with source code references and support for post-mortem analysis via dump files).
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2023-06-16 |
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r-tropicalsparse
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Some of the basic tropical algebra functionality is provided for sparse matrices by applying sparse matrix storage techniques. Some of these are addition and multiplication of vectors and matrices, dot product of the vectors in tropical form and some general equations are also solved using tropical algebra.
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2023-06-16 |
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r-trimr
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Provides various commonly-used response time trimming methods, including the recursive / moving-criterion methods reported by Van Selst and Jolicoeur (1994). By passing trimming functions raw data files, the package will return trimmed data ready for inferential testing.
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2023-06-16 |
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r-track
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Automatically stores objects in files on disk so that files are rewritten when objects are changed, and so that objects are accessible but do not occupy memory until they are accessed. Keeps track of times when objects are created and modified, and caches some basic characteristics of objects to allow for fast summaries of objects. Also provides a command history mechanism that saves the last command to a history file after each command completes.
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2023-06-16 |
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r-tpes
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A bioinformatics tool for the estimation of the tumor purity from sequencing data. It uses the set of putative clonal somatic single nucleotide variants within copy number neutral segments to call tumor cellularity.
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2023-06-16 |
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r-threeway
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Component analysis for three-way data arrays by means of Candecomp/Parafac, Tucker3, Tucker2 and Tucker1 models.
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2023-06-16 |
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r-testfunctions
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Test functions are often used to test computer code. They are used in optimization to test algorithms and in metamodeling to evaluate model predictions. This package provides test functions that can be used for any purpose. Some functions are taken from <https://www.sfu.ca/~ssurjano>, but their R code is not used.
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2023-06-16 |
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r-testdriver
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Provides data sets for teaching statistics and data science courses. It includes a sample of data from John Edmund Kerrich's famous coinflip experiment. These are data that I use for teaching SOC 4015 / SOC 5050 at Saint Louis University (SLU). The package also contains an R Markdown template with the required formatting for assignments in my courses SOC 4015, SOC 4650, SOC 5050, and SOC 5650 at SLU.
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2023-06-16 |
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r-tempdisagg
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Temporal disaggregation methods are used to disaggregate and interpolate a low frequency time series to a higher frequency series, where either the sum, the average, the first or the last value of the resulting high frequency series is consistent with the low frequency series. Temporal disaggregation can be performed with or without one or more high frequency indicator series. Contains the methods of Chow-Lin, Santos-Silva-Cardoso, Fernandez, Litterman, Denton and Denton-Cholette.
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2023-06-16 |
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r-teamr
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Package of wrapper functions using R6 class to send requests to Microsoft 'Teams' <https://products.office.com/en-us/microsoft-teams/group-chat-software> through webhooks. When you need to share information or data from R to 'Teams', rather than copying/pasting, you can use this package to send well-formatted output from multiple R objects.
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2023-06-16 |
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r-tdpanalysis
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Set of functions designed to help in the analysis of TDP sensors. Features includes dates and time conversion, weather data interpolation, daily maximum of tension analysis and calculations required to convert sap flow density data to sap flow rates at the tree and plot scale (For more information see : Granier (1985) <DOI:10.1051/forest:19850204> & Granier (1987) <DOI:10.1093/treephys/3.4.309>).
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2023-06-16 |
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r-tarifx
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A collection of various utility and convenience functions.
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2023-06-16 |
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r-tailloss
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Set of tools to estimate the probability in the upper tail of the aggregate loss distribution using different methods: Panjer recursion, Monte Carlo simulations, Markov bound, Cantelli bound, Moment bound, and Chernoff bound.
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2023-06-16 |
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r-tablaxlsx
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Some functions are included in this package for writing tables in Excel format suitable for distribution.
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2023-06-16 |
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r-t2eq
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Contains functions for applying the T^2-test for equivalence. The T^2-test for equivalence is a multivariate two-sample equivalence test. Distance measure of the test is the Mahalanobis distance. For multivariate normally distributed data the T^2-test for equivalence is exact and UMPI. The function T2EQ() implements the T^2-test for equivalence according to Wellek (2010) <DOI:10.1201/ebk1439808184>. The function T2EQ.dissolution.profiles.hoffelder() implements a variant of the T^2-test for equivalence according to Hoffelder (2016) <http://www.ecv.de/suse_item.php?suseId=Z|pi|8430> for the equivalence comparison of highly variable dissolution profiles.
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2023-06-16 |
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r-svs
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Various tools for semantic vector spaces, such as correspondence analysis (simple, multiple and discriminant), latent semantic analysis, probabilistic latent semantic analysis, non-negative matrix factorization, latent class analysis and EM clustering. Furthermore, there are specialized distance measures, plotting functions and some helper functions.
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2023-06-16 |
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r-survrm2
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Performs two-sample comparisons using the restricted mean survival time (RMST) as a summary measure of the survival time distribution. Three kinds of between-group contrast metrics (i.e., the difference in RMST, the ratio of RMST and the ratio of the restricted mean time lost (RMTL)) are computed. It performs an ANCOVA-type covariate adjustment as well as unadjusted analyses for those measures.
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2023-06-16 |
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r-surrosurvroc
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Nonparametric and semiparametric estimations of the time-dependent ROC curve for an incomplete failure time data with surrogate failure time endpoints.
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2023-06-16 |
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r-stcov
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Estimates a covariance matrix using Stein's isotonized covariance estimator, or a related estimator suggested by Haff.
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2023-06-16 |
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r-sse
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Provides functions to evaluate user-defined power functions for a parameter range, and draws a sensitivity plot. It also provides a resampling procedure for semi-parametric sample size estimation and methods for adding information to a Sweave report.
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2023-06-16 |
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r-uniqtag
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For each string in a set of strings, determine a unique tag that is a substring of fixed size k unique to that string, if it has one. If no such unique substring exists, the least frequent substring is used. If multiple unique substrings exist, the lexicographically smallest substring is used. This lexicographically smallest substring of size k is called the "UniqTag" of that string.
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2023-06-16 |
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r-turtlegraphics
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An implementation of turtle graphics <http://en.wikipedia.org/wiki/Turtle_graphics>. Turtle graphics comes from Papert's language Logo and has been used to teach concepts of computer programming.
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2023-06-16 |
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r-tsmodel
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Tools for specifying time series regression models
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2023-06-16 |
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r-tsdf
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Calculate optimal Zhong's two-/three-stage Phase II designs (see Zhong (2012) <doi:10.1016/j.cct.2012.07.006>). Generate Target Toxicity decision table for Phase I dose-finding (two-/three-stage). This package also allows users to run dose-finding simulations based on customized decision table.
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2023-06-16 |
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r-transp
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Implementation of two transportation problem algorithms. 1. North West Corner Method 2. Minimum Cost Method or Least cost method. For more technical details about the algorithms please refer below URLs. <http://www.universalteacherpublications.com/univ/ebooks/or/Ch5/nw.htm>. <http://personal.maths.surrey.ac.uk/st/J.F/chapter7.pdf>.
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2023-06-16 |
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r-tpe
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This package implements the greedy approximation for tree preserving embedding.
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2023-06-16 |
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r-totalcensus
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Download summary files from Census Bureau <https://www2.census.gov/> and extract data, in particular high resolution data at block, block group, and tract level, from decennial census and American Community Survey 1-year and 5-year estimates.
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2023-06-16 |
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r-tmvmixnorm
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Efficient sampling of truncated multivariate (scale) mixtures of normals under linear inequality constraints is nontrivial due to the analytically intractable normalizing constant. Meanwhile, traditional methods may subject to numerical issues, especially when the dimension is high and dependence is strong. Algorithms proposed by Li and Ghosh (2015) <doi: 10.1080/15598608.2014.996690> are adopted for overcoming difficulties in simulating truncated distributions. Efficient rejection sampling for simulating truncated univariate normal distribution is included in the package, which shows superiority in terms of acceptance rate and numerical stability compared to existing methods and R packages. An efficient function for sampling from truncated multivariate normal distribution subject to convex polytope restriction regions based on Gibbs sampler for conditional truncated univariate distribution is provided. By extending the sampling method, a function for sampling truncated multivariate Student's t distribution is also developed. Moreover, the proposed method and computation remain valid for high dimensional and strong dependence scenarios. Empirical results in Li and Ghosh (2015) <doi: 10.1080/15598608.2014.996690> illustrated the superior performance in terms of various criteria (e.g. mixing and integrated auto-correlation time).
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2023-06-16 |
