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r-politicaldata
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Provides useful functions for obtaining commonly-used data in political analysis and political science, including from sources such as the Comparative Agendas Project <https://www.comparativeagendas.net>, which provides data on politics and policy from 20+ countries, the MIT Election and Data Science Lab <https://www.electionlab.mit.edu>, and FiveThirtyEight <https://www.FiveThirtyEight.com>.
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2023-06-16 |
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r-poisnonnor
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Generation of count (assuming Poisson distribution) and continuous data (using Fleishman polynomials) simultaneously.
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2023-06-16 |
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r-poet
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Estimate large covariance matrices in approximate factor models by thresholding principal orthogonal complements.
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2023-06-16 |
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r-pnmtrem
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An R package for Probit-Normal Marginalized Transition Random Effects Models
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2023-06-16 |
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r-plaqr
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Estimation, prediction, thresholding, transformation, and plotting for partially linear additive quantile regression. Intuitive functions for fitting and plotting partially linear additive quantile regression models. Uses and works with functions from the 'quantreg' package.
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2023-06-16 |
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r-rwinsteps
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Facilitates communication between R and the Rasch modeling software Winsteps. Currently includes functions for reading and writing command files, sending them to Winsteps, reading and writing data according to command file specifications, reading output into R, and plotting various results.
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2023-06-16 |
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r-rviewgraph
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This is an 'R' interface to Alun Thomas's 'ViewGraph' 'Java' graph viewing program. It takes a graph specified as an incidence matrix, list of edges, or in 'igraph' format and runs a graphical user interface that shows an animation of a force directed algorithm positioning the vertices in two dimensions. It works well for graphs of various structure of up to a few thousand vertices. It's not fazed by graphs that comprise several components. The coordinates can be read as an 'igraph' style layout matrix at any time. The user can mess with the layout using a mouse, preferably one with 3 buttons, and some keyed commands. The 'Java' program 'ViewGraph' is contained in Alun Thomas's 'JPSGCS' collection of 'Java' programs for statistical genetics and computational statistics. The homepage for 'JPSGCS' is <http://www-genepi.med.utah.edu/~alun/software/index.html>. The documentation page for 'ViewGraph' is at <http://www-genepi.med.utah.edu/~alun/software/docs/ViewGraph.html>.
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2023-06-16 |
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r-rticles
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A suite of custom R Markdown formats and templates for authoring journal articles and conference submissions.
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2023-06-16 |
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r-rssop
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Reservoir Systems Standard Operation Policy. A system for simulation of supply reservoirs. It proposes functionalities for plotting and evaluation of supply reservoirs systems.
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2023-06-16 |
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r-rspde
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Functions that compute rational approximations of fractional elliptic stochastic partial differential equations. The package also contains functions for common statistical usage of these approximations. The main reference for the methods is Bolin and Kirchner (2019) <arXiv:1711.04333>, which can be generated by the citation function in R.
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2023-06-16 |
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r-rsmartlyio
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Aims at loading Facebook and Instagram advertising data from 'Smartly.io' into R. 'Smartly.io' is an online advertising service that enables advertisers to display commercial ads on social media networks (see <http://www.smartly.io/> for more information). The package offers an interface to query the 'Smartly.io' API and loads data directly into R for further data processing and data analysis.
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2023-06-16 |
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r-rrpp
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Linear model calculations are made for many random versions of data. Using residual randomization in a permutation procedure, sums of squares are calculated over many permutations to generate empirical probability distributions for evaluating model effects. This packaged is described by Collyer & Adams (2018) <doi:10.1111/2041-210X.13029>. Additionally, coefficients, statistics, fitted values, and residuals generated over many permutations can be used for various procedures including pairwise tests, prediction, classification, and model comparison. This package should provide most tools one could need for the analysis of high-dimensional data, especially in ecology and evolutionary biology, but certainly other fields, as well.
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2023-06-16 |
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r-rromeo
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Fetches information from the 'SHERPA/RoMEO' API <http://www.sherpa.ac.uk/romeo/apimanual.php> which indexes policies of journal regarding the archival of scientific manuscripts before and/or after peer-review as well as formatted manuscripts.
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2023-06-16 |
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r-rpsychi
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The rpsychi offers a number of functions for psychiatry, psychiatric nursing, clinical psychology. Functions are primarily for statistical significance testing using published work. For example, you can conduct a factorial analysis of variance (ANOVA), which requires only the mean, standard deviation, and sample size for each cell, rather than the individual data. This package covers fundamental statistical tests such as t-test, chi-square test, analysis of variance, and multiple regression analysis. With some exceptions, you can obtain effect size and its confidence interval. These functions help you to obtain effect size from published work, and then to conduct a priori power analysis or meta-analysis, even if a researcher do not report effect size in a published work.
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2023-06-16 |
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r-rpoet
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Wrapper for the 'PoetryDB' API <http://poetrydb.org> that allows for interaction and data extraction from the database in an R interface. The 'PoetryDB' API is a database of poetry and poets implemented with 'MongoDB' to enable developers and poets to easily access one of the most comprehensive poetry databases currently available.
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2023-06-16 |
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r-rpart.plot
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Plot 'rpart' models. Extends plot.rpart() and text.rpart() in the 'rpart' package.
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2023-06-16 |
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r-rolr
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Provides fast procedures for exploring all pairs of cutpoints of a single covariate with respect to survival and determining optimal cutpoints using a hierarchical method and various ordered logrank tests.
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2023-06-16 |
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r-rocwogs
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Function to estimate the ROC Curve of a continuous-scaled diagnostic test with the help of a second imperfect diagnostic test with binary responses.
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2023-06-16 |
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r-rocnit
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Non-inferiority test and diagnostic test are very important in clinical trails. This package is to get a p value from the non-inferiority test for ROC curves from diagnostic test.
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2023-06-16 |
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r-rmr
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Analysis of oxygen consumption data generated by Loligo (R) Systems respirometry equipment. The package includes a function for loading data output by Loligo's 'AutoResp' software (get.witrox.data()), functions for calculating metabolic rates over user-specified time intervals, extracting critical points from data using broken stick regressions based on Yeager and Ultsch (<DOI:10.1086/physzool.62.4.30157935>), and easy functions for converting between different units of barometric pressure.
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2023-06-16 |
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r-rkmetrics
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Hybrid Mortality Modelling (HMM) provides a framework in which mortality around "the accident hump" and at very old ages can be modelled under a single model. The graphics' codes necessary for visualization of the models' output are included here. Specifically, the graphics are based on the assumption that, the mortality rates can be expressed as a function of the area under the curve between the crude mortality rates plots and the tangential transform of the force of mortality.
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2023-06-16 |
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r-rklout
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An interface of R to Klout API v2. It fetches Klout Score for a Twitter Username/handle in real time. Klout is a website and mobile app that uses social media analytics to rank its users according to online social influence via the "Klout Score", which is a numerical value between 1 and 100. In determining the user score, Klout measures the size of a user's social media network and correlates the content created to measure how other users interact with that content.
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2023-06-16 |
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r-ridigbio
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An interface to iDigBio's search API that allows downloading specimen records. Searches are returned as a data.frame. Other functions such as the metadata end points return lists of information. iDigBio is a US project focused on digitizing and serving museum specimen collections on the web. See <https://www.idigbio.org> for information on iDigBio.
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2023-06-16 |
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r-rhandsontable
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An R interface to the 'Handsontable' JavaScript library, which is a minimalist Excel-like data grid editor. See <https://handsontable.com/> for details.
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2023-06-16 |
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r-rgr
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Geological Survey of Canada (GSC) functions for exploratory data analysis with applied geochemical data, with special application to the estimation of background ranges and identification of outliers, 'anomalies', to support mineral exploration and environmental studies. Additional functions are provided to support analytical data QA/QC, ANOVA for investigations of field sampling and analytical variability, and utility tasks. NOTE: function caplot() for concentration-area plots employs package 'akima', however, 'akima' is only licensed for not-for-profit use. Therefore, not-for-profit users of 'rgr' will have to independently make package 'akima' available through library(....); and use of function caplot() by for-profit users will fail.
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2023-06-16 |
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r-rgf
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Regularized Greedy Forest wrapper of the 'Regularized Greedy Forest' <https://github.com/RGF-team/rgf/tree/master/python-package> 'python' package, which also includes a Multi-core implementation (FastRGF) <https://github.com/RGF-team/rgf/tree/master/FastRGF>.
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2023-06-16 |
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r-resistorarray
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Electrical properties of resistor networks using matrix methods.
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2023-06-16 |
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r-rela
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Item analysis with alpha standard error and principal axis factoring for continuous variable scales (with plots).
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2023-06-16 |
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r-regsel
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Functions for fitting linear and generalized linear models with variable selection. The functions can automatically do Stepwise Regression, Lasso or Elastic Net as variable selection methods. Lasso and Elastic net are improved and handle factors better (they can either include or exclude all factor levels).
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2023-06-16 |
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r-readmldata
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Functions for reading data sets in different formats for testing machine learning tools are provided. This allows to run a loop over several data sets in their original form, for example if they are downloaded from UCI Machine Learning Repository. The data are not part of the package and have to be downloaded separately.
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2023-06-16 |
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r-readbulk
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Combine multiple data files from a common directory. The data files will be read into R and bound together, creating a single large data.frame. A general function is provided along with a specific function for data that was collected using the open-source experiment builder 'OpenSesame' <http://osdoc.cogsci.nl/>.
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2023-06-16 |
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r-rdice
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A collection of functions to simulate dice rolls and the like. In particular, experiments and exercises can be performed looking at combinations and permutations of values in dice rolls and coin flips, together with the corresponding frequencies of occurrences. When applying each function, the user has to input the number of times (rolls, flips) to toss the dice. Needless to say, the more the tosses, the more the frequencies approximate the actual probabilities. Moreover, the package provides functions to generate non-transitive sets of dice (like Efron's) and to check whether a given set of dice is non-transitive with given probability.
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2023-06-16 |
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r-rdian
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A client library for 'The Guardian' (https://www.guardian.com/) and their API, this package allows users to search for Guardian articles and retrieve both the content and metadata.
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2023-06-16 |
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r-rasterlist
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A S4 class has been created such that complex operations can be executed on each cells of a raster map. The raster of objects contains the traditional raster map with the addition of a list of generic objects: one object for each raster cells. It allows to write few lines of R code for complex map algebra. Two environmental applications about frequency analysis of raster map of precipitation and creation of a raster map of soil water retention curves have been presented.
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2023-06-16 |
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r-rangemodelr
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Generates expected values of species richness, with continuous or scattered ranges, for data across one or two dimensions.
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2023-06-16 |
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r-rafalib
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A series of shortcuts for routine tasks originally developed by Rafael A. Irizarry to facilitate data exploration.
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2023-06-16 |
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r-qsardata
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Molecular descriptors and outcomes for several public domain data sets
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2023-06-16 |
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r-qcsis
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Quantile correlation-sure independence screening (QC-SIS) and composite quantile correlation-sure independence screening (CQC-SIS) for ultrahigh-dimensional data.
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2023-06-16 |
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r-pwt9
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The Penn World Table 9.x (<http://www.ggdc.net/pwt/>) provides information on relative levels of income, output, inputs, and productivity for 182 countries between 1950 and 2017.
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2023-06-16 |
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r-psumtsim
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Functions to simulate Poisson or Normally distributed responses relative to a baseline and compute achieved significance level and powers for tests on the simulated responses.
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2023-06-16 |
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r-pso
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The package provides an implementation of PSO consistent with the standard PSO 2007/2011 by Maurice Clerc et al. Additionally a number of ancillary routines are provided for easy testing and graphics.
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2023-06-16 |
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r-psagraphics
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A collection of functions that primarily produce graphics to aid in a Propensity Score Analysis (PSA). Functions include: cat.psa and box.psa to test balance within strata of categorical and quantitative covariates, circ.psa for a representation of the estimated effect size by stratum, loess.psa that provides a graphic and loess based effect size estimate, and various balance functions that provide measures of the balance achieved via a PSA in a categorical covariate.
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2023-06-16 |
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r-provviz
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Displays provenance graphically for provenance collected by the 'rdt' or 'rdtLite' packages, or other tools providing compatible PROV JSON output. The exact format of the JSON created by 'rdt' and 'rdtLite' is described in <https://github.com/End-to-end-provenance/ExtendedProvJson>. More information about rdtLite and associated tools is available at <https://github.com/End-to-end-provenance/> and Barbara Lerner, Emery Boose, and Luis Perez (2018), Using Introspection to Collect Provenance in R, Informatics, <doi: 10.3390/informatics5010012>.
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2023-06-16 |
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r-proteomicdesign
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This package provides functions to identify the optimal solution that maximizes numbers of detectable differentiated proteins from a multi-stage clinical proteomic study.
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2023-06-16 |
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r-ppcor
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Calculates partial and semi-partial (part) correlations along with p-value.
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2023-06-16 |
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r-polidata
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This package provides easy access to various political data APIs directly from R. For example, you can access Google Civic Information API <https://developers.google.com/civic-information/> or Sunlight Congress API <https://sunlightlabs.github.io/congress/> for US Congress data, and POPONG API <http://data.popong.com/> for South Korea National Assembly data.
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2023-06-16 |
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r-poker
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Type testRoundOfPoker() to demonstrate the game of Texas Hold ‘Em poker. Rotate the dealer button, deal cards, rank each hand, compare ranks, break ties (if necessary), determine the winner, output a textual summary, and output a graphical user interface.
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2023-06-16 |
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r-pod
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This tool computes the probability of detection (POD) curve and the limit of detection (LOD), i.e. the number of copies of the target DNA sequence required to ensure a 95 % probability of detection (LOD95). Other quantiles of the LOD can be specified. This is a reimplementation of the mathematical-statistical modelling of the validation of qualitative polymerase chain reaction (PCR) methods within a single laboratory as provided by the commercial tool 'PROLab' <http://quodata.de/>. The modelling itself has been described by Uhlig et al. (2015) <doi:10.1007/s00769-015-1112-9>.
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2023-06-16 |
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r-pmsampsize
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Computes the minimum sample size required for the development of a new multivariable prediction model using the criteria proposed by Riley et al. (2018) <doi: 10.1002/sim.7992>. pmsampsize can be used to calculate the minimum sample size for the development of models with continuous, binary or survival (time-to-event) outcomes. Riley et al. (2018) <doi: 10.1002/sim.7992> lay out a series of criteria the sample size should meet. These aim to minimise the overfitting and to ensure precise estimation of key parameters in the prediction model.
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2023-06-16 |
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r-pmcmr
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Note, that the 'PMCMR' package is superseded by the novel 'PMCMRplus' package. The 'PMCMRplus' package contains all functions from 'PMCMR' and many more parametric and non-parametric multiple comparison procedures, one-factorial trend tests, as well as improved method functions, such as print, summary and plot. The 'PMCMR' package is no longer maintained, but kept for compatibility of reverse depending packages for some time.
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2023-06-16 |
