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r-nps
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Small functions to make working with survey data in the context of a Net Promoter programme easier. Specifically, data transformation methods, some methods for examining the statistical properties of the NPS, such as its variance and standard errors, and some simple inferential testing procedures. Net Promoter and NPS are registered trademarks of Bain & Company, Satmetrix Systems and Fred Reichheld.
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2023-06-16 |
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r-processcontrol
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Generate time series chart for individual values with mean and +/- 3 standard deviation lines and the corresponding mR chart with the upper control limit. Also execute the 8 Shewhart stability run tests and display the violations.
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2023-06-16 |
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r-popkorn
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Provides a suite of tools for various methods of estimating confidence intervals for the mean of selected populations.
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2023-06-16 |
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r-pgls
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Based on the Generalized Least Square model for comparative Phylogenetics (ref).
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2023-06-16 |
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r-pact
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A prediction-based approach to the analysis of data from randomized clinical trials is implemented. Based on response and covariate data from a randomized clinical trial comparing a new experimental treatment E versus a control C, the objective is to develop and internally validate a model that can identify subjects likely to benefit from E rather than C. Currently, survival and binary response types are permitted.
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2023-06-16 |
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r-pollstr
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Client for the HuffPost Pollster API, which provides access to U.S. polls on elections and political opinion.
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2023-06-16 |
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r-phenability
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An alternative to carrying out phenotypic adaptability and stability analyses, taking into account nonparametric statistics. Can be used as a robust approach, less sensitive to departures from common genotypic, environmental, and GxE effects data assumptions (e.g., normal distribution of errors).
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2023-06-16 |
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r-probfda
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Probabilistic Fisher discriminant analysis (pFDA) is a probabilistic version of the popular and powerful Fisher linear discriminant analysis for dimensionality reduction and classification.
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2023-06-16 |
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r-predmixcor
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"train_predict_mix" predicts the binary response with binary features
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2023-06-16 |
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r-poprange
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Runs a forward genetic simulator
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2023-06-16 |
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r-pigshift
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Fits models of gene expression evolution to expression data from coregulated groups of genes, assuming inverse gamma distributed rate variation.
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2023-06-16 |
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r-phenocamapi
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A bundle to facilitate working with PhenoCam timeseries and data. The user would be able to obtain phenological time-series and site metadata from the PhenoCam network <https://phenocam.sr.unh.edu/webcam/>.
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2023-06-16 |
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r-perturb
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Use the perturb() function to evaluates collinearity by adding random noise to selected variables (Hendrickx & Pelzer 2004). The colldiag function() calculates condition numbers and variance decomposition proportions to test for collinearity and uncover its sources (Belsley 1980).
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2023-06-16 |
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r-persiandictionary
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Translate words from English to Persian (Over 67,000 words)
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2023-06-16 |
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r-paf
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Calculate unadjusted/adjusted attributable fraction function of a set of covariates for a censored survival outcome from a Cox model using the method proposed by Chen, Lin and Zeng (Biometrika 97, 713-726., 2010).
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2023-06-16 |
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r-optismixture
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Code for optimal mixture weights in importance sampling. Workhorse functions penoptpersp() and penoptpersp.alpha.only() minimize estimated variances with and without control variates respectively. It can be used in adaptive mixture importance sampling, for example, function batch.estimation() does two stages, a pilot estimate of mixing alpha and a following importance sampling.
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2023-06-16 |
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r-probemod
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Contains functions that are useful for probing moderation effects (or interactions) including techniques such as pick-a-point (also known as spotlight analysis) and Johnson-Neyman (also known as floodlight analysis). Plot function is also provided to facilitate visualization of results from each of these techniques.
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2023-06-16 |
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r-pips
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Generate Predicted Interval Plots. Simulate and plot confidence intervals of an effect estimate given observed data and a hypothesis about the distribution of future data.
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2023-06-16 |
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r-pear
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Package for estimating periodic autoregressive models. Datasets: monthly ozone and Fraser riverflow. Plots: periodic versions of boxplot, auto/partial correlations, moving-average expansion.
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2023-06-16 |
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r-popgenkit
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There are two main purposes to this package. The first is to allow batch conversion of Genepop (Rousset 2008) input files for use with Arlequin (Excoffier and Lischer 2010), which has a simple GUI to analyze batch files. Two commonly used simulation software, BottleSim (Kuo & Janzen 2003) and Easypop (Balloux 2001) produce Genepop output files that can be analyzed this way. There are also functions to convert to and from BottleSim format, to quickly produce allele frequency tables or to convert a file directly for use in ordination analyses (e.g. principal component analysis). This package also includes functions to calculate allele rarefaction curves, confidence intervals on heterozygosity and allelic richness with resampling strategies (bootstrap and jackknife).
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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-pemm
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This package provides functions to perform multivariate Gaussian parameter estimation based on data with abundance-dependent missingness. It implements a penalized Expectation-Maximization (EM) algorithm. The package is tailored for but not limited to proteomics data applications, in which a large proportion of the data are often missing-not-at-random with lower values (or absolute values) more likely to be missing.
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2023-06-16 |
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r-peacots
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Calculates the periodogram of a time series, maximum-likelihood fits an Ornstein-Uhlenbeck state space (OUSS) null model and evaluates the statistical significance of periodogram peaks against the OUSS null hypothesis. The OUSS is a parsimonious model for stochastically fluctuating variables with linear stabilizing forces, subject to uncorrelated measurement errors. Contrary to the classical white noise null model for detecting cyclicity, the OUSS model can account for temporal correlations typically occurring in ecological and geological time series.
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2023-06-16 |
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r-pagi
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The package can identify the dysregulated KEGG pathways based on global influence from the internal effect of pathways and crosstalk between pathways. (1) The PAGI package can prioritize the pathways associated with two biological states by statistical significance or FDR. (2) The PAGI package can evaluated the global influence factor (GIF) score in the global gene-gene network constructed based on the relationships of genes extracted from each pathway in KEGG database and the overlapped genes between pathways.
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2023-06-16 |
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r-ops
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Comparison of data by Pearson product-moment correlation coefficients is prone to outliers. The problem can be alleviated by normalizing data with outliers before computing the Pearson correlation coefficient. The sample provides such normalization by optimal power space transformation.
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2023-06-16 |
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r-oidata
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A collection of data sets from several sources that may be useful for teaching, practice, or other purposes. Functions have also been included to assist in the retrieval of table data from websites or in visualizing sample data.
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2023-06-16 |
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r-odata
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Helper methods for accessing data from web service based on OData Protocol. It provides several helper methods to access the service metadata, the data from datasets and to download some file resources (it only support CSV for now). For more information about OData go to <http://www.odata.org/documentation/>.
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2023-06-16 |
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r-notifyr
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This Package provides a connection to the pushover.net API to send push notification to your smartphone directly from R. (ACCOUNT REQUIRED!)
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2023-06-16 |
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r-normtest
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Tests for the composite hypothesis of normality
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2023-06-16 |
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r-norm2
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Functions for parameter estimation, Bayesian posterior simulation and multiple imputation from incomplete multivariate data under a normal model.
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2023-06-16 |
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r-optrees
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Finds optimal trees in weighted graphs. In particular, this package provides solving tools for minimum cost spanning tree problems, minimum cost arborescence problems, shortest path tree problems and minimum cut tree problem.
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2023-06-16 |
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r-oligospecificitysystem
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Calculate the theorical specificity of a system of multiple primers used for PCR, qPCR primers or degenerated primer design
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2023-06-16 |
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r-okmesonet
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okmesonet retrieves and summarizes Oklahoma (USA) Mesonet climatological data provided by the Oklahoma Climatological Survey. Measurements are recorded every five minutes at approximately 120 stations throughout Oklahoma and are available in near real-time.
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2023-06-16 |
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r-okcupiddata
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Cleaned profile data from "OkCupid Profile Data for Introductory Statistics and Data Science Courses" (Journal of Statistics Education 2015 <http://www.amstat.org/publications/jse/v23n2/kim.pdf>).
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2023-06-16 |
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r-neariso
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Implements a path algorithm for Near-Isotonic Regression. For more details see the help files.
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2023-06-16 |
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r-obsmd
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Implements the objective Bayesian methodology proposed in Consonni and Deldossi in order to choose the optimal experiment that better discriminate between competing models, see Deldossi and Nai Ruscone (2020) <doi:10.18637/jss.v094.i02>.
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2023-06-16 |
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r-notemd
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When building a 'shiny' app to generate reports (pdf or 'word'), we can insert a comment box in front-end side for user to write down them notes and use this package to document those notes in reports.
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2023-06-16 |
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r-pbdprof
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MPI profiling tools.
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2023-06-16 |
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r-normt3
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Evaluates the probability density function of the sum of the Gaussian and Student's t density on 3 degrees of freedom. Evaluates the p.d.f. of the sphered Student's t density function. Also evaluates the erf, and erfc functions on complex-valued arguments. Thanks to Krishna Myneni the function is calculates the Faddeeva function also!
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2023-06-16 |
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r-nutshell.bbdb
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This package contains the baseball databank data set used as an example in the book "R in a Nutshell" from O'Reilly Media. For more information about this book, see http://shop.oreilly.com/product/0636920022008.do
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2023-06-16 |
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r-noncensus
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A collection of various regional information determined by the U.S. Census Bureau along with demographic data.
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2023-06-16 |
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r-opencv
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Experimenting with computer vision and machine learning in R. This package exposes some of the available 'OpenCV' <https://opencv.org/> algorithms, such as edge, body or face detection. These can either be applied to analyze static images, or to filter live video footage from a camera device.
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2023-06-16 |
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r-opart
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A reference implementation of standard optimal partitioning algorithm in C using square-error loss and Poisson loss functions as described by Robert Maidstone (2016) <doi:10.1007/s11222-016-9636-3>, Toby Hocking (2016) <doi:10.1007/s11222-016-9636-3>, Guillem Rigaill (2016) <doi:10.1007/s11222-016-9636-3>, Paul Fearnhead (2016) <doi:10.1007/s11222-016-9636-3>. It scales quadratically with number of data points in terms of time-complexity.
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2023-06-16 |
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r-onearmphasetwostudy
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Purpose of this package is it to plan, monitor and evaluate oncological phase II studies. In general this kind of studies are single-arm trials with planned interim analysis and binary endpoint. To meet the resulting requirements, the package provides functions to calculate and evaluate 'Simon's two-stage designs' and 'so-called' 'subset designs'. If you are unfamiliar with this package a good starting point is to take a closer look at the functions getSolutions() and getSolutionsSub1().The web-based tool (<https://imbi.shinyapps.io/phaseII-app/>) extends the functionality of our R package by means of a proper dealing with over- and underrunning. The R function binom.test of the 'stats' R package and the package 'binom' might be helpful to assess the performance of the corresponding one-stage design as a reference.
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2023-06-16 |
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r-onlinevar
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Functions for recursive online fitting of time-adaptive lasso vector auto regression. A recursive coordinate descent algorithm is used to estimate sparse vector auto regressive models and exponential forgetting is applied to allow model changes. Details can be found in Jakob W. Messner and Pierre Pinson (2018). "Online adaptive LASSO estimation in Vector Auto Regressive models for wind power forecasting in high dimension". International Journal of Forecasting, in press. <doi:10.1016/j.ijforecast.2018.02.001>.
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2023-06-16 |
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r-poisson
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Contains functions and classes for simulating, plotting and analysing homogenous and non-homogenous Poisson processes.
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2023-06-16 |
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r-plotregionhighlighter
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Creates an envelope around a set of plotted points. The envelope is compact with a boundary that is continuous, smooth and convex. Each point is represented as a circle and the circles and connecting lines are the solution to the multiple pulley problem. This method can be used to highlight regions in a two-dimensional space.
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2023-06-16 |
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r-pla
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Parallel Line Assays: Completely randomized design, Randomized Block design, and Latin squares design. Balanced data are fitted as described in the Ph.Eur. In the presence of missing values complete data analysis can be performed (with computation of Fieller's confidence intervals for the estimated potency), or imputation of values can be applied. The package contains a script such that a pdf-document with a report of an analysis of an assay can be produced from an input file with data of the assay. Here no knowledge of R is needed by the user.
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2023-06-16 |
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r-partialor
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Computes Odds Ratio adjusted for a vector of possibly continuous covariates
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2023-06-16 |
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r-pabonlasso
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Pabon Lasso is a graphical method for monitoring the efficiency of different wards of a hospital or different hospitals.Pabon Lasso graph is divided into 4 parts which are created after drawing the average of BTR and BOR. The part in the left-down side is Zone I, left-up side is Zone II, Right-up side part is Zone III and the last part is Zone IV.
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2023-06-16 |
