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r-franc
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With no external dependencies and support for 335 languages; all languages spoken by more than one million speakers. 'Franc' is a port of the 'JavaScript' project of the same name, see <https://github.com/wooorm/franc>.
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2023-06-16 |
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r-fpca2d
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Compute the two dimension functional principal component scores for a series of two dimension images.
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2023-06-16 |
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r-fmdates
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Implements common date calculations relevant for specifying the economic nature of financial market contracts that are typically defined by International Swap Dealer Association (ISDA, <http://www2.isda.org>) legal documentation. This includes methods to check whether dates are business days in certain locales, functions to adjust and shift dates and time length (or day counter) calculations.
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2023-06-16 |
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r-flows
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Selections on flow matrices, statistics on selected flows, map and graph visualisations.
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2023-06-16 |
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r-flexdashboard
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Format for converting an R Markdown document to a grid oriented dashboard. The dashboard flexibly adapts the size of it's components to the containing web page.
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2023-06-16 |
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r-fitpoly
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Genotyping assays for bi-allelic markers (e.g. SNPs) produce signal intensities for the two alleles. 'fitPoly' assigns genotypes (allele dosages) to a collection of polyploid samples based on these signal intensities. 'fitPoly' replaces the older package 'fitTetra' that was limited (a.o.) to only tetraploid populations whereas 'fitPoly' accepts any ploidy level. Reference: Voorrips RE, Gort G, Vosman B (2011) <doi:10.1186/1471-2105-12-172>.
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2023-06-16 |
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r-fitdc
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A pure R package for decoding activity files written in the FIT ("Flexible and Interoperable Data Transfer") format. A format that is fast becoming the standard for recording running and cycling data. Details of the FIT protocol can be found at <https://www.thisisant.com/resources/fit>.
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2023-06-16 |
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r-finasym
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This package accomplishes two tasks: a) it classifies implicit trading activity from quotes in OTC markets using the algorithm of Lee and Ready (1991); b) based on information for trade initiation, the package computes the probability of informed trading of Easley and O'Hara (1987).
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2023-06-16 |
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r-financialinstrument
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Infrastructure for defining meta-data and relationships for financial instruments.
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2023-06-16 |
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r-filematrix
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Interface for working with large matrices stored in files, not in computer memory. Supports multiple non-character data types (double, integer, logical and raw) of various sizes (e.g. 8 and 4 byte real values). Access to parts of the matrix is done by indexing, exactly as with usual R matrices. Supports very large matrices. Tested on multi-terabyte matrices. Allows for more than 2^32 rows or columns. Allows for quick addition of extra columns to a filematrix. Cross-platform as the package has R code only.
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2023-06-16 |
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r-fc
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Provides a streamlined, standard evaluation-based approach to multivariate function composition. Allows for chaining commands via a forward-pipe operator, %>%.
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2023-06-16 |
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r-fasta
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A collection of acceleration schemes for proximal gradient methods for estimating penalized regression parameters described in Goldstein, Studer, and Baraniuk (2016) <arXiv:1411.3406>. Schemes such as Fast Iterative Shrinkage and Thresholding Algorithm (FISTA) by Beck and Teboulle (2009) <doi:10.1137/080716542> and the adaptive stepsize rule introduced in Wright, Nowak, and Figueiredo (2009) <doi:10.1109/TSP.2009.2016892> are included. You provide the objective function and proximal mappings, and it takes care of the issues like stepsize selection, acceleration, and stopping conditions for you.
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2023-06-16 |
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r-fast
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The Fourier Amplitude Sensitivity Test (FAST) is a method to determine global sensitivities of a model on parameter changes with relatively few model runs. This package implements this sensitivity analysis method.
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2023-06-16 |
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r-factmixtanalysis
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The package estimates Factor Mixture Analysis via the EM algorithm
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2023-06-16 |
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r-eyetracking
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Misc function for working with eyetracking data
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2023-06-16 |
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r-extmallows
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For multiple full/partial ranking lists, R package 'ExtMallows' can (1) detect whether the input ranking lists are over-correlated, and (2) use the Mallows model or extended Mallows model to integrate the ranking lists, and (3) use hierarchical extended Mallows model for rank integration if there are groups of over-correlated ranking lists.
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2023-06-16 |
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r-expert
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Expert opinion (or judgment) is a body of techniques to estimate the distribution of a random variable when data is scarce or unavailable. Opinions on the quantiles of the distribution are sought from experts in the field and aggregated into a final estimate. The package supports aggregation by means of the Cooke, Mendel-Sheridan and predefined weights models.
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2023-06-16 |
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r-exiftoolr
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Reads, writes, and edits EXIF and other file metadata using ExifTool <http://www.sno.phy.queensu.ca/~phil/exiftool/>, returning read results as a data frame. ExifTool supports many different metadata formats including EXIF, GPS, IPTC, XMP, JFIF, GeoTIFF, ICC Profile, Photoshop IRB, FlashPix, AFCP and ID3, as well as the maker notes of many digital cameras by Canon, Casio, DJI, FLIR, FujiFilm, GE, GoPro, HP, JVC/Victor, Kodak, Leaf, Minolta/Konica-Minolta, Motorola, Nikon, Nintendo, Olympus/Epson, Panasonic/Leica, Pentax/Asahi, Phase One, Reconyx, Ricoh, Samsung, Sanyo, Sigma/Foveon and Sony.
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2023-06-16 |
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r-excelr
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An R interface to 'jExcel' library to create web-based interactive tables and spreadsheets compatible with 'Excel' or any other spreadsheet software.
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2023-06-16 |
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r-exact
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Performs unconditional exact tests and power calculations for 2x2 contingency tables. Unconditional exact tests are often more powerful than conditional exact tests and asymptotic tests.
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2023-06-16 |
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r-err
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Messages should provide users with readable information about R objects without flooding their console. 'cc()' concatenates vector and data frame values into a grammatically correct string using commas, an ellipsis and conjunction. 'cn()' allows the user to define a string which varies based on a count. 'co()' combines the two to produce a customizable object aware string. The package further facilitates this process by providing five 'sprintf'-like types such as '%n' for the length of an object and '%o' for its name as well as wrappers for pasting objects and issuing errors, warnings and messages.
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2023-06-16 |
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r-fuzzyahp
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Calculation of AHP (Analytic Hierarchy Process - <http://en.wikipedia.org/wiki/Analytic_hierarchy_process>) with classic and fuzzy weights based on Saaty's pairwise comparison method for determination of weights.
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2023-06-16 |
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r-fpest
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Given the values of sampled units and selection probabilities the desraj function in the package computes the estimated value of the total as well as estimated variance.
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2023-06-16 |
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r-fmsb
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Several utility functions for the book entitled "Practices of Medical and Health Data Analysis using R" (Pearson Education Japan, 2007) with Japanese demographic data and some demographic analysis related functions.
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2023-06-16 |
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r-flr
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FLR algorithm for classification
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2023-06-16 |
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r-fittetra
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Package fitTetra contains three functions that can be used to assign genotypes to a collection of tetraploid samples based on bialleleic marker assays. Functions fitTetra (to fit several models for one marker from the data and select the best fitting) or saveMarkerModels (calls fitTetra for multiple markers and saves the results to files) will probably be the most convenient to use. Function CodomMarker offers more control and fits one specified model for a given marker.
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2023-06-16 |
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r-fishkirkko2015
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Dataset of 302 measurements of 11 fish species to accompany the manuscript "Length-weight relationships of six freshwater fish species from lake Kirkkojarvi, Finland".
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2023-06-16 |
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r-finana
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Functions for financial analysis and financial modeling, including batch graphs generation, beta calculation, descriptive statistics, annuity calculation, bond pricing and financial data download.
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2023-06-16 |
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r-ffield
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Force field simulation of interaction of set of points. Very useful for placing text labels on graphs, such as scatterplots.
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2023-06-16 |
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r-fextremes
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Provides functions for analysing and modelling extreme events in financial time Series. The topics include: (i) data pre-processing, (ii) explorative data analysis, (iii) peak over threshold modelling, (iv) block maxima modelling, (v) estimation of VaR and CVaR, and (vi) the computation of the extreme index.
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2023-06-16 |
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r-fdrci
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FDR functions for permutation-based estimators, including pi0 as well as FDR confidence intervals. The confidence intervals account for dependencies between tests by the incorporation of an overdispersion parameter, which is estimated from the permuted data.
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2023-06-16 |
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r-fcd
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Efficient procedures for community detection in network studies, especially for sparse networks with not very obvious community structure. The algorithms impose penalties on the differences of the coordinates which represent the community labels of the nodes.
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2023-06-16 |
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r-fanplot
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Visualise sequential distributions using a range of plotting styles. Sequential distribution data can be input as either simulations or values corresponding to percentiles over time. Plots are added to existing graphic devices using the fan function. Users can choose from four different styles, including fan chart type plots, where a set of coloured polygon, with shadings corresponding to the percentile values are layered to represent different uncertainty levels.
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2023-06-16 |
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r-fail
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More comfortable interface to work with R data or source files in a key-value fashion.
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2023-06-16 |
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r-factorsr
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It identifies the factors significantly related to species richness, and their relative contribution, using multiple regressions and support vector machine models. It uses an output file of 'ModestR' (<http://www.ipez.es/ModestR>) with data of richness of the species and environmental variables in a cell size defined by the user. The residuals of the support vector machine model are shown on a map. Negative residuals may be potential areas with undiscovered and/or unregistered species, or areas with decreased species richness due to the negative effect of anthropogenic factors.
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2023-06-16 |
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r-gadifpt
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In this package we consider Gaussian Diffusion processes and smooth thresholds. After evaluating the mean of the process to check the subthreshold regimen hypothesis, the FPT density function is reconstructed via the numerical quadrature of the integral equation in (Buonocore 1987); first passage times are also generated by the method in (Buonocore 2014) and results are compared. The timestep of the simulations can iteratively be refined. User should provide the functional form for the drift and the infinitesimal variance in the script 'userfunc.R' and for the threshold in the script 'userthresh.R'. All the parameters required by the implementation are to be set in the script 'userparam.R'. Example scripts for common drifts and thresholds are given.
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2023-06-16 |
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r-g1dbn
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G1DBN performs DBN inference using 1st order conditional dependencies.
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2023-06-16 |
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r-fuzzyr
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Design and simulate fuzzy logic systems using Type 1 Fuzzy Logic. This toolkit includes with graphical user interface (GUI) and an adaptive neuro- fuzzy inference system (ANFIS). This toolkit is a continuation from the previous package ('FuzzyToolkitUoN'). Produced by the Intelligent Modelling & Analysis Group, University of Nottingham.
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2023-06-16 |
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r-fueleconomy
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Fuel economy data from the EPA, 1985-2015, conveniently packaged for consumption by R users.
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2023-06-16 |
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r-freqdist
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Generates a frequency distribution. The frequency distribution includes raw frequencies, percentages in each category, and cumulative frequencies. The frequency distribution can be stored as a data frame.
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2023-06-16 |
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r-fregression
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A collection of functions for linear and non-linear regression modelling. It implements a wrapper for several regression models available in the base and contributed packages of R.
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2023-06-16 |
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r-fortunes
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A collection of fortunes from the R community.
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2023-06-16 |
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r-forit
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This package provides estimates of tree volume and biomass from Italian NFI models
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2023-06-16 |
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r-forecastcombinations
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Aim: Supports the most frequently used methods to combine forecasts. Among others: Simple average, Ordinary Least Squares, Least Absolute Deviation, Constrained Least Squares, Variance-based, Best Individual model, Complete subset regressions and Information-theoretic (information criteria based).
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2023-06-16 |
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r-foba
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foba is a package that implements forward, backward, and foba sparse learning algorithms for ridge regression, described in the paper "Adaptive Forward-Backward Greedy Algorithm for Learning Sparse Representations".
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2023-06-16 |
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r-flowfield
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Flow field forecasting draws information from an interpolated flow field of the observed time series to incrementally build a forecast.
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2023-06-16 |
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r-flexdir
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Provides tools to work with the Flexible Dirichlet distribution. The main features are an E-M algorithm for computing the maximum likelihood estimate of the parameter vector and a function based on conditional bootstrap to estimate its asymptotic variance-covariance matrix. It contains also functions to plot graphs, to generate random observations and to handle compositional data.
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2023-06-16 |
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r-fam.recrisk
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Given vectors of family sizes and number of affecteds per family, calculates the risk of disease recurrence in an unaffected person, conditional on a family having at least k affected members. Methods also model heterogeneity of disease risk across families by fitting a mixture model, allowing for high and low risk families.
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2023-06-16 |
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r-expss
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Package computes and displays tables with support for 'SPSS'-style labels, multiple and nested banners, weights, multiple-response variables and significance testing. There are facilities for nice output of tables in 'knitr', 'Shiny', '*.xlsx' files, R and 'Jupyter' notebooks. Methods for labelled variables add value labels support to base R functions and to some functions from other packages. Additionally, the package brings popular data transformation functions from 'SPSS' Statistics and 'Excel': 'RECODE', 'COUNT', 'COMPUTE', 'DO IF', 'COUNTIF', 'VLOOKUP' and etc. These functions are very useful for data processing in marketing research surveys. Package intended to help people to move data processing from 'Excel' and 'SPSS' to R.
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2023-06-16 |
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r-evolvability
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An implementation of the evolvability parameters defined in Hansen and Houle (2008).
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2023-06-16 |
