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r-priogene
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In gene sequencing methods, the topological features of protein-protein interaction (PPI) networks are often used, such as ToppNet <https://toppgene.cchmc.org>. In this study, a candidate gene prioritization method was proposed for non-communicable diseases considering disease risks transferred between genes in weighted disease PPI networks with weights for nodes and edges based on functional information.
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2025-04-22 |
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r-printr
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Extends the S3 generic function knit_print() in 'knitr' to automatically print some objects using an appropriate format such as Markdown or LaTeX. For example, data frames are automatically printed as tables, and the help() pages can also be rendered in 'knitr' documents.
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2025-04-22 |
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r-prinsimp
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Provides capabilities beyond principal components analysis to focus on finding structure in low variability subspaces. Constructs and plots simple basis vectors for pre-defined and user-defined measures of simplicity.
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2025-04-22 |
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r-primefactr
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Use Prime Factorization for simplifying computations, for instance for ratios of large factorials.
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2025-04-22 |
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r-prevederer
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Easy and efficient access to the API provided by 'Prevedere', an industry insights and predictive analytics company. Query and download indicators, models and workbenches built with 'Prevedere' for further analysis and reporting <https://www.prevedere.com/>.
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2025-04-22 |
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r-prettyr
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Functions for conventionally formatting descriptive stats, reshaping data frames and formatting R output as HTML.
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2025-04-22 |
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r-prettymapr
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Automates the process of creating a scale bar and north arrow in any package that uses base graphics to plot in R. Bounding box tools help find and manipulate extents. Finally, there is a function to automate the process of setting margins, plotting the map, scale bar, and north arrow, and resetting graphic parameters upon completion.
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2025-04-22 |
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r-prettygraphs
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Simple and crisp publication-quality graphics for the ExPosition family of packages. See An ExPosition of the Singular Value Decomposition in R (Beaton et al 2014) <doi:10.1016/j.csda.2013.11.006>.
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2025-04-22 |
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r-prettydoc
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Creating tiny yet beautiful documents and vignettes from R Markdown. The package provides the 'html_pretty' output format as an alternative to the 'html_document' and 'html_vignette' engines that convert R Markdown into HTML pages. Various themes and syntax highlight styles are supported.
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2025-04-22 |
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r-prettycode
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Replace the standard print method for functions with one that performs syntax highlighting, using ANSI colors, if the terminal supports them.
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2025-04-22 |
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r-prettyb
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Drop-in replacements for standard base graphics functions. The replacements are prettier versions of the originals.
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2025-04-22 |
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r-presenceabsence
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This package provides a set of functions useful when evaluating the results of presence-absence models. Package includes functions for calculating threshold dependent measures such as confusion matrices, pcc, sensitivity, specificity, and Kappa, and produces plots of each measure as the threshold is varied. It will calculate optimal threshold choice according to a choice of optimization criteria. It also includes functions to plot the threshold independent ROC curves along with the associated AUC (area under the curve).
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2025-04-22 |
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r-prereg
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Provides a collection of templates to author preregistration documents for scientific studies in PDF format.
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2025-04-22 |
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r-preputils
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Miscellaneous small utilities are provided to mitigate issues with messy, inconsistent or high dimensional data and help for preprocessing and preparing analyses.
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2025-04-22 |
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r-preknitposthtmlrender
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Dynamize headers or R code within 'Rmd' files to prevent proliferation of 'Rmd' files for similar reports. Add in external HTML document within 'rmarkdown' rendered HTML doc.
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2025-04-22 |
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r-predmixcor
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"train_predict_mix" predicts the binary response with binary features
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2025-04-22 |
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r-predictiveregression
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Three prediction algorithms described in the paper "On-line predictive linear regression" Annals of Statistics 37, 1566 - 1590 (2009)
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2025-04-22 |
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r-prediction
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A one-function package containing 'prediction()', a type-safe alternative to 'predict()' that always returns a data frame. The 'summary()' method provides a data frame with average predictions, possibly over counterfactual versions of the data (a la the 'margins' command in 'Stata'). Marginal effect estimation is provided by the related package, 'margins' <https://cran.r-project.org/package=margins>. The package currently supports common model types (e.g., "lm", "glm") from the 'stats' package, as well as numerous other model classes from other add-on packages. See the README or main package documentation page for a complete listing.
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2025-04-22 |
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r-praktikum
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Kasulikud funktsioonid kvantitatiivsete mudelite kursuse (SHPH.00.004) jaoks
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2025-04-22 |
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r-prais
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The Prais-Winsten estimator (Prais & Winsten, 1954) takes into account AR(1) serial correlation of the errors in a linear regression model. The procedure recursively estimates the coefficients and the error autocorrelation of the specified model until sufficient convergence of the AR(1) coefficient is attained.
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2025-04-22 |
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r-pragma
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pragma allows for the use of pragma (also sometimes called directives or keywords. These allow assigning arbitrary functionality to a word without requiring the standard function call syntax i.e. with parens.
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2025-04-22 |
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r-practools
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Functions and datasets to support Valliant, Dever, and Kreuter, ``Practical Tools for Designing and Weighting Survey Samples'' (2nd edition, 2018). Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs. Other functions compute variance components for multistage designs and sample sizes in two-phase designs. A number of example data sets are included.
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2025-04-22 |
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r-pracma
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Provides a large number of functions from numerical analysis and linear algebra, numerical optimization, differential equations, time series, plus some well-known special mathematical functions. Uses 'MATLAB' function names where appropriate to simplify porting.
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2025-04-22 |
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r-pqantimalarials
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This package allows users to calculate the number of under-five child deaths caused by consumption of poor quality antimalarials across 39 sub-Saharan nations. The package supports one function, that starts an interactive web tool created using the shiny R package. The web tool runs locally on the user's machine. The web tool allows users to set input parameters (prevalence of poor quality antimalarials, case fatality rate of children who take poor quality antimalarials, and sample size) which are then used to perform an uncertainty analysis following the Latin hypercube sampling scheme. Users can download the output figures as PDFs, and the output data as CSVs. Users can also download their input parameters for reference. This package was designed to accompany the analysis presented in: J. Patrick Renschler, Kelsey Walters, Paul Newton, Ramanan Laxminarayan "Estimated under-five deaths associated with poor-quality antimalarials in sub-Saharan Africa", 2014. Paper submitted.
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2025-04-22 |
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r-pps
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The pps package contains functions to select samples using PPS (probability proportional to size) sampling. It also includes a function for stratified simple random sampling, a function to compute joint inclusion probabilities for Sampford's method of PPS sampling, and a few utility functions. The user's guide pps-ug.pdf is included.
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2025-04-22 |
