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r-igorr
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public |
Provides function to read data from the 'Igor Pro' data analysis program by Wavemetrics. The data formats supported are 'Igor' packed experiment format (pxp) and 'Igor' binary wave (ibw). See: http://www.wavemetrics.com/ for details. Also includes functions to load special pxp files produced by the 'Igor Pro' 'Neuromatic' and 'Nclamp' packages for recording and analysing neuronal data. See http://www.neuromatic.thinkrandom.com/ for details.
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2023-06-16 |
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r-ibdhaplortools
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public |
Functions to analyze, plot, and store the output of running IBD_Haplo software package. More information regarding IBD_Haplo can be found at http://www.stat.washington.edu/thompson/Genepi/pangaea.shtml.
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2023-06-16 |
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r-hypothesestest
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public |
Compute the confidence interval of the population mean with one sample or of the difference of population means of two samples from normal distributions or t-distributions.Compute the confidence interval of population variance with one sample or of the difference of population variances of two samples by chi-square tests.Test for population mean or the differences of two normal samples under normality with the given null hypothesis H0,which depends on the user,so that he can know if he can reject H0 or not at the significance level alpha.Do the chi-square tests with one or two samples which have multinomial distributions by using an approximate chi-square distribution when n is large enough.
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2023-06-16 |
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r-gtcorr
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This package provides functions to calculate the efficiencies (expected tests per unit) of hierarchical and matrix group testing procedures. Efficiencies can be calculated in the presense of correlated responses under multiple arrangements of clustesrs. Efficiencies can also be evaluated in the presense of test error.
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2023-06-16 |
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r-googleformr
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GET and POST data to Google Forms; an API to Google Forms, allowing users to POST data securely to Google Forms without needing authentication or permissioning.
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2023-06-16 |
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r-fbranks
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This package uses time dependent Poisson regression and a record of goals scored in matches to rank teams via estimated attack and defense strengths. The statistical model is based on Dixon and Coles (1997) Modeling Association Football Scores and Inefficiencies in the Football Betting Market, Applied Statistics, Volume 46, Issue 2, 265-280. The package has a some webscrapers to assist in the development and updating of a match database. If the match database contains unconnected clusters (i.e. sets of teams that have only played each other and not played teams from other sets), each cluster is ranked separately relative to the median team strength in the cluster. The package contains functions for predicting and simulating tournaments and leagues from estimated models. The package allows fitting via the glm(), speedglm(), and glmnet() functions. The latter allows fast and efficient fitting of very large numbers of teams. The fitting algorithm will analyze the match data and determine which teams form a cluster (a set of teams where there is a path of matches connecting every team) and fit each cluster separately.
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2023-06-16 |
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r-extratrees
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Classification and regression based on an ensemble of decision trees. The package also provides extensions of ExtraTrees to multi-task learning and quantile regression. Uses Java implementation of the method.
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2023-06-16 |
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r-ihs
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public |
Density, distribution function, quantile function and random generation for the inverse hyperbolic sine distribution. This package also provides a function that can fit data to the inverse hyperbolic sine distribution using maximum likelihood estimation.
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2023-06-16 |
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r-idbg
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An interactive R debugger
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2023-06-16 |
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r-homtest
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A collection of homogeneity tests described in: Viglione A., Laio F., Claps P. (2007) ``A comparison of homogeneity tests for regional frequency analysis'', Water Resources Research, 43, W03428, doi:10.1029/2006WR005095. More on Regional Frequency Analysis can be found in package nsRFA.
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2023-06-16 |
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r-het.test
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An implementation of White's Test for Heteroskedasticity as outlined in Doornik (1996).
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2023-06-16 |
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r-heatmap.plus
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Allows heatmap matrix to have non-identical X- and Y-dimensions. Allows multiple tracks of annotation for RowSideColors and ColSideColors.
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2023-06-16 |
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r-gpca
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This package implements guided principal components analysis for the detection of batch effects in high-throughput data.
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2023-06-16 |
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r-gcai.bias
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Many inherited biases and effects exists in RNA-seq due to both biological and technical effects. We observed the biological variance of testing target transcripts can influence the yield of sequencing reads, which might indicate a resource competition existing in RNA-seq. We developed this package to capture the bias depending on local sequence and perform the correction of this type of bias by borrowing information from spike-in measurement.
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2023-06-16 |
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r-frmpd
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Estimation of panel data regression models for fractional responses.
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2023-06-16 |
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r-fpca2d
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public |
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-flows
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public |
Selections on flow matrices, statistics on selected flows, map and graph visualisations.
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2023-06-16 |
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r-fitdc
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public |
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-fgac
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Bi-variate data fitting is done by two stochastic components: the marginal distributions and the dependency structure. The dependency structure is modeled through a copula. An algorithm was implemented considering seven families of copulas (Generalized Archimedean Copulas), the best fitting can be obtained looking all copula's options (totally positive of order 2 and stochastically increasing models).
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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-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-extrabinomial
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This package tests for differences in minor allele frequency between groups and is based on an extra-binomial variation model for pooled sequencing data.
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2023-06-16 |
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r-eplot
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public |
Aim: Adjust the graphical parameters to create nicer longitudinal series plots. The default set of graphical parameters is very general, and can be improved upon when we are interested in plotting data points observed over time. Functions facilitate plotting those kind of series, univariate plots, bivariate plots (with vertical axis on both left and right hand sides), multivariate plots and plots which allow to examine whether a new observation is 'unusual' via construction and visualization of prediction intervals around it.
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2023-06-16 |
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r-eqs2lavaan
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Transitioning from EQS to R for structural equation modeling (SEM) is made easier with a set of functions to convert .out files into R code. The EQS output can be converted into lavaan syntax and run in the R environment. Other functions parse descriptive statistics and the covariance matrix from an EQS .out file. A heat map plot of a covariance matrix is also included.
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2023-06-16 |
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r-evorag
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Uses maximum likelihood to estimate rates of trait evolution across environmental gradients.
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2023-06-16 |
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r-erpr
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This package is dedicated to the analysis of event-related potentials (ERPs). Event-related potentials are the measured brain responses associated with a specific sensory, cognitive, or motor event and are obtained from electroencephalographic (EEG) signal. The erpR package contains a series of functions for importing ERP data, computing traditional ERP measures, exploratory ERP analyses and plotting.
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2023-06-16 |
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r-aspc
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The aSPC test is designed to test global association between two groups of variables potentially with moderate to high dimension (e.g. in hundreds). The aSPC is particularly useful when the association signals between two groups of variables are sparse.
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2023-06-16 |
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r-eigeninv
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Solves the ``inverse eigenvalue problem'' which is to generate a real-valued matrix that has the specified real eigenvalue spectrum. It can generate infinitely many dense matrices, symmetric or asymmetric, with the given set of eigenvalues. Algorithm can also generate stochastic and doubly stochastic matrices.
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2023-06-16 |
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r-ecosimr
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Given a site by species interaction matrix, users can make inferences about species interactions by performance hypothesis comparing test statistics against a null distribution. The current package provides algorithms and metrics for niche-overlap, body size ratios and species co-occurrence. Users can also integrate their own algorithms and metrics within these frameworks or completely novel null models. Detailed explanations about the underlying assumptions of null model analysis in ecology can be found at http://ecosimr.org.
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2023-06-16 |
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r-eila
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Implementation of Efficient Inference of Local Ancestry using fused quantile regression and k-means classifier
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2023-06-16 |
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r-eiadata
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An R wrapper to allow the user to query categories and Series IDs, and import data, from the EIA's API <https://www.eia.gov/opendata/>.
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2023-06-16 |
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r-endogmnp
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endogMNP is an R package that fits a Bayesian multinomial probit model with endogenous selection, which is sometimes called an endogenous switching model. This can be used to model discrete choice data when respondents select themselves into one of several groups. This package is based on the MNP package by Kosuke Imai and David A. van Dyk. This package modifies their code.
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2023-06-16 |
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r-eipartialid
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Estimate district-level bounds for 2x2 ecological inference based on the approach described in the forthcoming article Jiang et al. (2019), "Ecological Regression with Partial Identification", Political Analysis. Interval data regression is used to bound the nonidentified regression parameter in a linear contextual effects model, from which district-level bounds are derived. The approach here can be useful as a baseline of comparison for future work on ecological inference.
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2023-06-16 |
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r-entropyexplorer
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Rows of two matrices are compared for Shannon entropy, coefficient of variation, and expression. P-values can be requested for all metrics.
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2023-06-16 |
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r-emcdf
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Computes and visualizes empirical joint distribution of multivariate data with optimized algorithms and multi-thread computation. There is a faster algorithm using dynamic programming to compute the whole empirical joint distribution of a bivariate data. There are optimized algorithms for computing empirical joint CDF function values for other multivariate data. Visualization is focused on bivariate data. Levelplots and wireframes are included.
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2023-06-16 |
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r-enrichvs
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These programs are used for calculating enrichment factors, drawing enrichment curves to evaluate virtual screening approaches.
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2023-06-16 |
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r-eigenprcomp
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Computes confidence intervals for the proportion explained by the first 1,2,k principal components, and computes confidence intervals for each eigenvalue. Both computations are done via nonparametric bootstrap.
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2023-06-16 |
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r-envirostat
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Functions and datasets to support the book by Nhu D Le and James V Zidek, Springer (2006).
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2023-06-16 |
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r-emmixskew
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EM algorithm for Fitting Mixture of Multivariate Skew Normal and Skew t Distributions. An implementation of the algorithm described in Wang, Ng, and McLachlan (2009) <doi:10.1109/DICTA.2009.88>.
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2023-06-16 |
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r-elemstatlearn
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Useful when reading the book above mentioned, in the documentation referred to as `the book'.
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2023-06-16 |
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r-emvs
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An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization paths for linear regression. Rockova and George (2014) <doi:10.1080/01621459.2013.869223>.
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2023-06-16 |
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r-eiwild
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This package allows to use the hybrid Multinomial-Dirichlet-Model of Ecological Inference for estimating inner Cells of RxC-Tables. This was already implemented in the eiPack-package. eiwild-package now has the possibility to use individual level data to support the aggregate level data and using different Hyperpriori-Distributions.
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2023-06-16 |
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r-effectsrelbaseline
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Functions to test for changes of a response to a stimulus grouping relative to a background or baseline response.
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2023-06-16 |
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r-emc
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public |
random walk Metropolis, Metropolis Hasting, parallel tempering, evolutionary Monte Carlo, temperature ladder construction and placement
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2023-06-16 |
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r-emme2
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This package includes functions to read and write to an EMME/2 databank
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2023-06-16 |
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r-elasth
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O pacote desponibiliza funções para estimar modelos de componentes não observados e determinar intervenções automaticamente. Com especial atenção para a replicação dos modelos utilizados na metodologia de calculo do resultado estrutural da SPE/MF. The package provides simple ways to estimates general unobserved components models and automatically detects intervenctions. It is specially useful to replicate Brazilian Ministry of Finance methodology to estimate income-output gap elasticities.
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2023-06-16 |
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r-ebsnp
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Genotyping and SNP calling tool for single-sample next generation sequencing data analysis using an empirical Bayes method.
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2023-06-16 |
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r-dynamicdistribution
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The package is aimed at dynamically visualizing probability distributions and their moments and all the commonly used distributions are included.
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2023-06-16 |
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r-deepr
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Tests for, and describe differences in event count profiles in groups of reconstructed cophylogenies
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2023-06-16 |
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r-dzexpm
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MCMC method to estimate and predict skewed spatial processes. A real data set is included. Reference: Wang, Yang and Majumdar (2018) <doi.org/10.1007/s00180-017-0741-3>.
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2023-06-16 |
