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r-magclass
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Data class for increased interoperability working with spatial- temporal data together with corresponding functions and methods (conversions, basic calculations and basic data manipulation). The class distinguishes between spatial, temporal and other dimensions to facilitate the development and interoperability of tools build for it. Additional features are name-based addressing of data and internal consistency checks (e.g. checking for the right data order in calculations).
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2023-06-16 |
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r-luzlogr
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Provides flexible but lightweight logging facilities for R scripts. Supports priority levels for logs and messages, flagging messages, capturing script output, switching logs, and logging to files or connections.
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2023-06-16 |
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r-lsrs
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Rapid satellite data streams in operational applications have clear benefits for monitoring land cover, especially when information can be delivered as fast as changing surface conditions. Over the past decade, remote sensing has become a key tool for monitoring and predicting environmental variables by using satellite data. This package presents the main applications in remote sensing for land surface monitoring and land cover mapping (soil, vegetation, water...). Tomlinson, C.J., Chapman, L., Thornes, E., Baker, C (2011) <doi:10.1002/met.287>.
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2023-06-16 |
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r-lspls
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Implements the LS-PLS (least squares - partial least squares) method described in for instance Jørgensen, K., Segtnan, V. H., Thyholt, K., Næs, T. (2004) "A Comparison of Methods for Analysing Regression Models with Both Spectral and Designed Variables" Journal of Chemometrics, 18(10), 451--464, <doi:10.1002/cem.890>.
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2023-06-16 |
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r-longpower
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Compute power and sample size for linear models of longitudinal data. Supported models include mixed-effects models and models fit by generalized least squares and generalized estimating equations. Relevant formulas are derived by Liu and Liang (1997) <DOI:10.2307/2533554>, Diggle et al (2002) <ISBN:9780199676750>, and Lu, Luo, and Chen (2008) <DOI:10.2202/1557-4679.1098>.
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2023-06-16 |
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r-localsolver
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The package converts R data onto input and data for LocalSolver, executes optimization and exposes optimization results as R data. LocalSolver (http://www.localsolver.com/) is an optimization engine developed by Innovation24 (http://www.innovation24.fr/). It is designed to solve large-scale mixed-variable non-convex optimization problems. The localsolver package is developed and maintained by WLOG Solutions (http://www.wlogsolutions.com/en/) in collaboration with Decision Support and Analysis Division at Warsaw School of Economics (http://www.sgh.waw.pl/en/).
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2023-06-16 |
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r-linpk
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Generate concentration-time profiles from linear pharmacokinetic (PK) systems, possibly with first-order absorption or zero-order infusion, possibly with one or more peripheral compartments, and possibly under steady-state conditions. Single or multiple doses may be specified. Secondary (derived) PK parameters (e.g. Cmax, Ctrough, AUC, Tmax, half-life, etc.) are computed.
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2023-06-16 |
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r-lightsout
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Lights Out is a puzzle game consisting of a grid of lights that are either on or off. Pressing any light will toggle it and its adjacent lights. The goal of the game is to switch all the lights off. This package provides an interface to play the game on different board sizes, both through the command line or with a visual application. Puzzles can also be solved using the automatic solver included. View a demo online at http://daattali.com/shiny/lightsout/.
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2023-06-16 |
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r-librarian
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Automatically install, update, and load 'CRAN', 'GitHub', and 'Bioconductor' packages in a single function call. By accepting bare unquoted names for packages, it's easy to add or remove packages from the list.
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2023-06-16 |
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r-lfdr.mle
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Suite of R functions for the estimation of the local false discovery rate (LFDR) using Type II maximum likelihood estimation (MLE).
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2023-06-16 |
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r-leafletr
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Display your spatial data on interactive web-maps using the open-source JavaScript library Leaflet. 'leafletR' provides basic web-mapping functionality to combine vector data and online map tiles from different sources. See <http://leafletjs.com> for more information on Leaflet.
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2023-06-16 |
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r-nlsrk
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Performs univariate or multivariate computation of a single ODE or of a set of ODE (ordinary differential equations).
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2023-06-16 |
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r-nistnls
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Datasets for testing nonlinear regression routines.
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2023-06-16 |
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r-nfca
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Numerical Formal Concept Analysis (nFCA) is a modern unsupervised learning tool for analyzing general numerical data. Given input data, this R package nFCA outputs two nFCA graphs: a H-graph and an I-graph that reveal systematic, hierarchical clustering and inherent structure of the data.
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2023-06-16 |
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r-newdistns
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Computes the probability density function, cumulative distribution function, quantile function, random numbers and measures of inference for the following general families of distributions (each family defined in terms of an arbitrary cdf G): Marshall Olkin G distributions, exponentiated G distributions, beta G distributions, gamma G distributions, Kumaraswamy G distributions, generalized beta G distributions, beta extended G distributions, gamma G distributions, gamma uniform G distributions, beta exponential G distributions, Weibull G distributions, log gamma G I distributions, log gamma G II distributions, exponentiated generalized G distributions, exponentiated Kumaraswamy G distributions, geometric exponential Poisson G distributions, truncated-exponential skew-symmetric G distributions, modified beta G distributions, and exponentiated exponential Poisson G distributions.
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2023-06-16 |
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r-neurohcp
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Downloads and reads data from Human 'Connectome' Project <https://db.humanconnectome.org> using Amazon Web Services ('AWS') 'S3' buckets.
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2023-06-16 |
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r-networkgen
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A network Maze generator that creates different types of network mazes.
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2023-06-16 |
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r-neighbr
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Classification, regression, and clustering with k nearest neighbors algorithm. Implements several distance and similarity measures, covering continuous and logical features. Outputs ranked neighbors. Most features of this package are directly based on the PMML specification for KNN.
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2023-06-16 |
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r-nb.mclust
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Model-based clustering of high-dimensional non-negative data that follow Generalized Negative Binomial distribution. All functions in this package applies to either continuous or integer data. Correlation between variables are allowed, while samples are assumed to be independent.
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2023-06-16 |
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r-mvnormtest
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Generalization of shapiro-wilk test for multivariate variables.
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2023-06-16 |
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r-mvmeta
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Collection of functions to perform fixed and random-effects multivariate and univariate meta-analysis and meta-regression.
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2023-06-16 |
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r-murl
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Provides mailmerge methods for reading spreadsheets of addresses and other relevant information to create standardized but customizable letters. Provides a method for mapping US ZIP codes, including those of letter recipients. Provides a method for parsing and processing html code from online job postings of the American Political Science Association.
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2023-06-16 |
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r-multirr
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Calculates bias, precision, and power for multi-level random regressions. Random regressions are types of hierarchical models in which data are structured in groups and (regression) coefficients can vary by groups. Tools to estimate model performance are designed mostly for scenarios where (regression) coefficients vary at just one level. 'MultiRR' provides simulation and analytical tools (based on 'lme4') to study model performance for random regressions that vary at more than one level (multi-level random regressions), allowing researchers to determine optimal sampling designs.
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2023-06-16 |
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r-multirich
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Functions to calculate Unique Trait Combinations (UTC) and scaled Unique Trait Combinations (sUTC) as measures of multivariate richness. The package can also calculate beta-diversity for trait richness and can partition this into nestedness-related and turnover components. The code will also calculate several measures of overlap.
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2023-06-16 |
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r-multilevel
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The functions in this package are designed to be used in the analysis of multilevel data by applied psychologists. The package includes functions for estimating common within-group agreement and reliability indices. The package also contains basic data manipulation functions that facilitate the analysis of multilevel and longitudinal data.
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2023-06-16 |
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r-mstknnclust
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Implements the MST-kNN clustering algorithm which was proposed by Inostroza-Ponta, M. (2008) <https://trove.nla.gov.au/work/28729389?selectedversion=NBD44634158>.
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2023-06-16 |
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r-mrsurv
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This package contains functions, data and examples to compute a multiplicative-regression model for relative survival.
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2023-06-16 |
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r-mrbayes
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Bayesian estimation of inverse variance weighted (IVW), Burgess et al. (2013) <doi:10.1002/gepi.21758>, and MR-Egger, Bowden et al. (2015) <doi:10.1093/ije/dyv080>, summary data models for Mendelian randomization analyses.
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2023-06-16 |
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r-morsegen
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MorseGen is a program for generating raw data based on user-specified summary (descriptive) statistics. Samples based on the supplied statistics are drawn from a normal distribution (or, in some cases, an exponential distribution) and scaled to match the desired descriptive statistics. Intended uses include creating raw data that fits desired characteristics or to replicate the results in a published study.
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2023-06-16 |
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r-monotonicity
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Test for monotonicity in financial variables sorted by portfolios. It is conventional practice in empirical research to form portfolios of assets ranked by a certain sort variable. A t-test is then used to consider the mean return spread between the portfolios with the highest and lowest values of the sort variable. Yet comparing only the average returns on the top and bottom portfolios does not provide a sufficient way to test for a monotonic relation between expected returns and the sort variable. This package provides nonparametric tests for the full set of monotonic patterns by Patton, A. and Timmermann, A. (2010) <doi:10.1016/j.jfineco.2010.06.006> and compares the proposed results with extant alternatives such as t-tests, Bonferroni bounds, and multivariate inequality tests through empirical applications and simulations.
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2023-06-16 |
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r-mocca
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Provides methods to analyze cluster alternatives based on multi-objective optimization of cluster validation indices. For details see Kraus et al. (2011) <doi:10.1007/s00180-011-0244-6>.
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2023-06-16 |
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r-mns
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An implementation of the mixed neighbourhood selection (MNS) algorithm. The MNS algorithm can be used to estimate multiple related precision matrices. In particular, the motivation behind this work was driven by the need to understand functional connectivity networks across multiple subjects. This package also contains an implementation of a novel algorithm through which to simulate multiple related precision matrices which exhibit properties frequently reported in neuroimaging analysis.
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2023-06-16 |
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r-mltest
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A fast, robust and easy-to-use calculation of multi-class classification evaluation metrics based on confusion matrix.
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2023-06-16 |
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r-mixtnb
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Differential expression analysis of RNA-Seq data when replicates under two conditions are available is performed. First, mixtures of Negative Binomial distributions are fitted on the data in order to estimate the dispersions, then the Wald test is computed.
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2023-06-16 |
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r-mixrf
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It offers random-forest-based functions to impute clustered incomplete data. The package is tailored for but not limited to imputing multitissue expression data, in which a gene's expression is measured on the collected tissues of an individual but missing on the uncollected tissues.
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2023-06-16 |
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r-mitisem
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Flexible multivariate function approximation using adapted Mixture of Student t Distributions. Mixture of t distribution is obtained using Importance Sampling weighted Expectation Maximization algorithm.
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2023-06-16 |
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r-minval
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For a given set of stoichiometric reactions, this package evaluates the mass and charge balance, extracts all reactants, products, orphan metabolites, metabolite names and compartments. Also are included some options to characterize and write models in TSV and SBML formats.
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2023-06-16 |
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r-midas
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Contains functions for converting existing HTML/JavaScript source into equivalent 'shiny' functions. Bootstraps the process of making new 'shiny' functions by allowing us to turn HTML snippets directly into R functions.
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2023-06-16 |
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r-micromacromultilevel
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Most multilevel methodologies can only model macro-micro multilevel situations in an unbiased way, wherein group-level predictors (e.g., city temperature) are used to predict an individual-level outcome variable (e.g., citizen personality). In contrast, this R package enables researchers to model micro-macro situations, wherein individual-level (micro) predictors (and other group-level predictors) are used to predict a group-level (macro) outcome variable in an unbiased way.
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2023-06-16 |
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r-metstat
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A diverse collection of metabolomics related statistical tools.
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2023-06-16 |
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r-meth27qc
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Meth27QC is a tool for analyzing Illumina Infinium HumanMethylation27 BeadChip Data and generating QC reports. This package allows users quickly assess data quality of the Assay. Users can evaluate the data quality in the way that Illumina GenomeStudio/BeadStudio recommended based on the control probes. The package reads files exported from GenomeStudio/BeadStudio software, generating intensity and standard deviation plots grouped by the types of the control probes. Meth27 carries 40 control probes for staining, hybridization, target removal, extension, bisulfite conversion, specificity, negative and non-polymorphic controls. Details of those control probes can be found in the Infinium Assay for Methylation Protocol Guide from Illumina.We also used the other non-control probes to plot intensity of detected genes, signal average for green and red. Outliers can be identified.
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2023-06-16 |
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r-metalik
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First- and higher-order likelihood inference in meta-analysis and meta-regression models.
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2023-06-16 |
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r-mediacloudr
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API wrapper to gather news stories, media information and tags from the 'mediacloud.org' API, based on a multilevel query <https://mediacloud.org/>. A personal API key is required.
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2023-06-16 |
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r-measurements
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Collection of tools to make working with physical measurements easier. Convert between metric and imperial units, or calculate a dimension's unknown value from other dimensions' measurements.
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2023-06-16 |
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r-maxskew
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It finds Orthogonal Data Projections with Maximal Skewness. The first data projection in the output is the most skewed among all linear data projections. The second data projection in the output is the most skewed among all data projections orthogonal to the first one, and so on.
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2023-06-16 |
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r-mapmisc
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A minimal, light-weight set of tools for producing nice looking maps in R, with support for map projections.
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2023-06-16 |
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r-maddison
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Contains the Maddison Project database, which provides estimates of GDP per capita for all countries in the world between AD 1 and 2010. See http://www.ggdc.net/maddison for more information.
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2023-06-16 |
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r-lzerospikeinference
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An implementation of algorithms described in Jewell and Witten (2017) <arXiv:1703.08644>.
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2023-06-16 |
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r-ltxsparklines
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Sparklines are small plots (about one line of text high), made popular by Edward Tufte. This package is the interface from R to the LaTeX package sparklines by Andreas Loeffer and Dan Luecking (<http://www.ctan.org/pkg/sparklines>). It can work with Sweave or knitr or other engines that produce TeX. The package can be used to plot vectors, matrices, data frames, time series (in ts or zoo format).
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2023-06-16 |
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r-ltpdvar
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Calculation of rectifying LTPD and AOQL plans for sampling inspection by variables which minimize mean inspection cost per lot of process average quality.
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2023-06-16 |
