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r-frbs
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An implementation of various learning algorithms based on fuzzy rule-based systems (FRBSs) for dealing with classification and regression tasks. Moreover, it allows to construct an FRBS model defined by human experts. FRBSs are based on the concept of fuzzy sets, proposed by Zadeh in 1965, which aims at representing the reasoning of human experts in a set of IF-THEN rules, to handle real-life problems in, e.g., control, prediction and inference, data mining, bioinformatics data processing, and robotics. FRBSs are also known as fuzzy inference systems and fuzzy models. During the modeling of an FRBS, there are two important steps that need to be conducted: structure identification and parameter estimation. Nowadays, there exists a wide variety of algorithms to generate fuzzy IF-THEN rules automatically from numerical data, covering both steps. Approaches that have been used in the past are, e.g., heuristic procedures, neuro-fuzzy techniques, clustering methods, genetic algorithms, squares methods, etc. Furthermore, in this version we provide a universal framework named 'frbsPMML', which is adopted from the Predictive Model Markup Language (PMML), for representing FRBS models. PMML is an XML-based language to provide a standard for describing models produced by data mining and machine learning algorithms. Therefore, we are allowed to export and import an FRBS model to/from 'frbsPMML'. Finally, this package aims to implement the most widely used standard procedures, thus offering a standard package for FRBS modeling to the R community.
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2025-04-22 |
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r-frapplot
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Automatically process Fluorescence Recovery After Photobleaching (FRAP) data and generate consistent, publishable figures. Note: this package does not replace 'ImageJ' (or its equivalence) in raw image quantification. Some references about the methods: Sprague, Brian L. (2004) <doi:10.1529/biophysj.103.026765>; Day, Charles A. (2012) <doi:10.1002/0471142956.cy0219s62>.
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2025-04-22 |
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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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2025-04-22 |
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r-frambgrowth
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Generation of theoretical size distributions of framboidal or sunflower pyrite. The growth mechanisms used are surface and supply controlled and dependent or independent of size. The algorithms are fully described in the published work in Mineralogy and Petrology journal: "Theoretical growth of framboidal and sunflower pyrite using the R-package frambgrowth" The authors Merinero, R., and Cardenes, V. (2018). <DOI:10.1007/s00710-017-0535-x>.
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2025-04-22 |
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r-frailtyhl
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Implements the h-likelihood estimation procedures for general frailty models including competing-risk models and joint models.
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2025-04-22 |
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r-fragman
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Performs fragment analysis using genetic data coming from capillary electrophoresis machines. These are files with FSA extension which stands for FASTA-type file, and .txt files from Beckman CEQ 8000 system, both contain DNA fragment intensities read by machinery. In addition to visualization, it performs automatic scoring of SSRs (Sample Sequence Repeats; a type of genetic marker very common across the genome) and other type of PCR markers (standing for Polymerase Chain Reaction) in biparental populations such as F1, F2, BC (backcross), and diversity panels (collection of genetic diversity).
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2025-04-22 |
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r-fraction
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This is the package which can help you turn numeric,dataframe,matrix into fraction form.
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2025-04-22 |
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r-fractalparameterestimation
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The parameters p and q are estimated with the aid of a randomized Sierpinski Carpet which is built on a [p-p-p-q]-model. Thereby, for three times a simulation with a p-value and once with a q-value is assumed. Hence, these parameters are estimated and displayed. Moreover, functions for simulating random Sierpinski-Carpets with constant and variable probabilities are included. For more details on the method please see Hermann et al. (2015) <doi:10.1002/sim.6497>.
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2025-04-22 |
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r-fractaldim
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Implements various methods for estimating fractal dimension of time series and 2-dimensional data.
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2025-04-22 |
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r-fracprolif
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Functions for fitting data to a quiescent growth model, i.e. a growth process that involves members of the population who stop dividing or propagating.
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2025-04-22 |
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r-fptdapprox
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Efficient approximation of first-passage-time densities for diffusion processes based on the First-Passage-Time Location (FPTL) function.
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2025-04-22 |
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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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2025-04-22 |
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r-fpcompare
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Comparisons of floating point numbers are problematic due to errors associated with the binary representation of decimal numbers. Despite being aware of these problems, people still use numerical methods that fail to account for these and other rounding errors (this pitfall is the first to be highlighted in Circle 1 of Burns (2012) 'The R Inferno' <http://www.burns-stat.com/pages/Tutor/R_inferno.pdf>). This package provides new relational operators useful for performing floating point number comparisons with a set tolerance.
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2025-04-22 |
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r-fpca3d
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Run three dimensional functional principal component analysis and return the three dimensional functional principal component scores. The details of the method are explained in Lin et al.(2015) <doi:10.1371/journal.pone.0132945>.
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2025-04-22 |
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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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2025-04-22 |
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r-fourscores
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A game for two players: Who gets first four in a row (horizontal, vertical or diagonal) wins. As board game published by Milton Bradley, designed by Howard Wexler and Ned Strongin.
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2025-04-22 |
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r-fourgametep
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The four-gamete test is based on the infinite-sites model which assumes that the probability of the same mutation occurring twice (recurrent or parallel mutations) and the probability of a mutation back to the original state (reverse mutations) are close to zero. Without these types of mutations, the only explanation for observing the four dilocus genotypes (example below) is recombination (Hudson and Kaplan 1985, Genetics 111:147-164). Thus, the presence of all four gametes is also called phylogenetic incompatibility.
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2025-04-22 |
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r-foto
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The Fourier Transform Textural Ordination method uses a principal component analysis on radially averaged two dimensional Fourier spectra to characterize image texture.
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2025-04-22 |
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r-forwardsearch
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Forward Search analysis of time series regressions. Implements the asymptotic theory developed in Johansen and Nielsen (2013, 2014).
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2025-04-22 |
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r-forwards
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Anonymized data from surveys conducted by Forwards <https://forwards.github.io/>, the R Foundation task force on women and other under-represented groups. Currently, a single data set of responses to a survey of attendees at useR! 2016 <https://www.r-project.org/useR-2016/>, the R user conference held at Stanford University, Stanford, California, USA, June 27 - June 30 2016.
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2025-04-22 |
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r-forward
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Robust analysis using forward search in linear and generalized linear regression models, as described in Atkinson, A.C. and Riani, M. (2000), Robust Diagnostic Regression Analysis, First Edition. New York: Springer.
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2025-04-22 |
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r-fortunes
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A collection of fortunes from the R community.
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2025-04-22 |
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r-formalseries
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Implemented, addition, subtracking, multiplication, division in formal series rings of any number of variables (except division is only to 3 variables). Also are available "[" "[<-" operators.
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2025-04-22 |
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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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2025-04-22 |
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r-foretell
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Project Customer Retention based on Beta Geometric, Beta Discrete Weibull and Latent Class Discrete Weibull Models.This package is based on Fader and Hardie (2007) <doi:10.1002/dir.20074> and Fader and Hardie et al. (2018) <doi:10.1016/j.intmar.2018.01.002>.
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2025-04-22 |
