r_test
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| Name | Latest Version | Summary | Updated | License |
|---|
| r | 3.6.0 | R is a free software environment for statistical computing and graphics. | Apr 22, 2025 | GPL-3.0 |
| r-abc.data | 1.0 | Contains data which are used by functions of the 'abc' package. | Apr 22, 2025 | GPL (>= 3) |
| r-abc.rap | 0.9.0 | It aims to identify candidate genes that are “differentially methylated” between cases and controls. It applies Student’s t-test and delta beta analysis to identify candidate genes containing multiple “CpG sites”. | Apr 22, 2025 | GPL-3 |
| r-abcoptim | 0.15.0 | An implementation of Karaboga (2005) Artificial Bee Colony Optimization algorithm <http://mf.erciyes.edu.tr/abc/pub/tr06_2005.pdf>. This (working) version is a Work-in-progress, which is why it has been implemented using pure R code. This was developed upon the basic version programmed in C and distributed at the algorithm's official website. | Apr 22, 2025 | MIT + file LICENSE |
| r-abcp2 | 1.2 | Tests the goodness of fit of a distribution of offspring to the Normal, Poisson, and Gamma distribution and estimates the proportional paternity of the second male (P2) based on the best fit distribution. | Apr 22, 2025 | GPL-2 |
| r-abe | 3.0.1 | Performs augmented backward elimination and checks the stability of the obtained model. Augmented backward elimination combines significance or information based criteria with the change in estimate to either select the optimal model for prediction purposes or to serve as a tool to obtain a practically sound, highly interpretable model. More details can be found in Dunkler et al. (2014) <doi:10.1371/journal.pone.0113677>. | Apr 22, 2025 | GPL (>= 2) |
| r-abf2 | 0.7_1 | Loads ABF2 files containing gap-free data from electrophysiological recordings, as created by Axon Instruments/Molecular Devices software such as pClamp 10. | Apr 22, 2025 | Artistic-2.0 |
| r-abind | 1.4_5 | Combine multidimensional arrays into a single array. This is a generalization of 'cbind' and 'rbind'. Works with vectors, matrices, and higher-dimensional arrays. Also provides functions 'adrop', 'asub', and 'afill' for manipulating, extracting and replacing data in arrays. | Apr 22, 2025 | LGPL (>= 2) |
| r-abnormality | 0.1.0 | Contains the functions to implement the methodology and considerations laid out by Marks et al. in the manuscript Measuring Abnormality in High Dimensional Spaces: Applications in Biomechanical Gait Analysis. As of 2/27/2018 this paper has been submitted and is under scientific review. Using high-dimensional datasets to measure a subject’s overall level of abnormality as compared to a reference population is often needed in outcomes research. Utilizing applications in instrumented gait analysis, that article demonstrates how using data that is inherently non-independent to measure overall abnormality may bias results. A methodology is introduced to address this bias to accurately measure overall abnormality in high dimensional spaces. While this methodology is in line with previous literature, it differs in two major ways. Advantageously, it can be applied to datasets in which the number of observations is less than the number of features/variables, and it can be abstracted to practically any number of domains or dimensions. After applying the proposed methodology to the original data, the researcher is left with a set of uncorrelated variables (i.e. principal components) with which overall abnormality can be measured without bias. Different considerations are discussed in that article in deciding the appropriate number of principal components to keep and the aggregate distance measure to utilize. | Apr 22, 2025 | MIT + file LICENSE |
| r-abodoutlier | 0.1 | Performs angle-based outlier detection on a given dataframe. Three methods are available, a full but slow implementation using all the data that has cubic complexity, a fully randomized one which is way more efficient and another using k-nearest neighbours. These algorithms are specially well suited for high dimensional data outlier detection. | Apr 22, 2025 | MIT + file LICENSE |
| r-abps | 0.3 | An implementation of the Abnormal Blood Profile Score (ABPS, part of the Athlete Biological Passport program of the World Anti-Doping Agency), which combines several blood parameters into a single score in order to detect blood doping (Sottas et al. (2006) <doi:10.2202/1557-4679.1011>). The package also contains functions to calculate other scores used in anti-doping programs, such as the OFF-score (Gore et al. (2003) <http://www.haematologica.org/content/88/3/333>), as well as example data. | Apr 22, 2025 | GPL (>= 2) |
| r-ac3net | 1.2.2 | Infers directional conservative causal core (gene) networks. It is an advanced version of the algorithm C3NET by providing directional network. Gokmen Altay (2018) <doi:10.1101/271031>, bioRxiv. | Apr 22, 2025 | GPL (>= 3) |
| r-aca | 1.1 | Offers an interactive function for the detection of breakpoints in series. | Apr 22, 2025 | GPL |
| r-acceptancesampling | 1.0_6 | Provides functionality for creating and evaluating acceptance sampling plans. Sampling plans can be single, double or multiple. | Apr 22, 2025 | GPL (>= 3) |
| r-acclma | 1.0 | The main function is plotLMA(sourcefile,header) that takes a data set and plots the appropriate LMA and ACC graphs. If no sourcefile (a string) was passed, a manual data entry window is opened. The header parameter indicates by TRUE/FALSE (false by default) if the source CSV file has a head row or not. The data set should contain only one independent variable (X) and one dependent varialbe (Y) and can contain a weight for each observation | Apr 22, 2025 | GPL-2 |
| r-accrued | 1.4.1 | Package for visualizing data quality of partially accruing data. | Apr 22, 2025 | GPL-3 |
| r-acd | 1.5.3 | Categorical data analysis with complete or missing responses | Apr 22, 2025 | GPL (>= 2) |
| r-ace2fastq | 0.6.0 | The ACE file format is used in genomics to store contigs from sequencing machines. This tools converts it into FASTQ format. Both formats contain the sequence characters and their corresponding quality information. Unlike the FASTQ file, the ace file stores the quality values numerically. The conversion algorithm uses the standard Sanger formula. The package facilitates insertion into pipelines, and content inspection. | Apr 22, 2025 | GPL-3 |
| r-acepack | 1.4.1 | Two nonparametric methods for multiple regression transform selection are provided. The first, Alternative Conditional Expectations (ACE), is an algorithm to find the fixed point of maximal correlation, i.e. it finds a set of transformed response variables that maximizes R^2 using smoothing functions [see Breiman, L., and J.H. Friedman. 1985. "Estimating Optimal Transformations for Multiple Regression and Correlation". Journal of the American Statistical Association. 80:580-598. <doi:10.1080/01621459.1985.10478157>]. Also included is the Additivity Variance Stabilization (AVAS) method which works better than ACE when correlation is low [see Tibshirani, R.. 1986. "Estimating Transformations for Regression via Additivity and Variance Stabilization". Journal of the American Statistical Association. 83:394-405. <doi:10.1080/01621459.1988.10478610>]. A good introduction to these two methods is in chapter 16 of Frank Harrel's "Regression Modeling Strategies" in the Springer Series in Statistics. | Apr 22, 2025 | MIT + file LICENSE |
| r-acet | 1.8.0 | Twin models that are able to estimate the dynamic behaviour of the variance components in the classical twin models with respect to age using B-splines and P-splines. | Apr 22, 2025 | GPL (>= 2) |
| r-acfmperiod | 1.0.0 | Non-robust and robust computations of the sample autocovariance (ACOVF) and sample autocorrelation functions (ACF) of univariate and multivariate processes. The methodology consists in reversing the diagonalization procedure involving the periodogram or the cross-periodogram and the Fourier transform vectors, and, thus, obtaining the ACOVF or the ACF as discussed in Fuller (1995) <doi:10.1002/9780470316917>. The robust version is obtained by fitting robust M-regressors to obtain the M-periodogram or M-cross-periodogram as discussed in Reisen et al. (2017) <doi:10.1016/j.jspi.2017.02.008>. | Apr 22, 2025 | GPL (>= 2) |
| r-acm4r | 1.0 | Fragment lengths or molecular weights from pairs of lanes are compared, and a number of matching bands are calculated using the Align-and-Count Method. | Apr 22, 2025 | GPL |
| r-acmer | 1.1.0 | Implementation of estimator ACME, described in Wolpert (2015), ACME: A Partially Periodic Estimator of Avian & Chiropteran Mortality at Wind Turbines (submitted). Unlike most other models, this estimator supports decreasing-hazard Weibull model for persistence; decreasing search proficiency as carcasses age; variable bleed-through at successive searches; and interval mortality estimates. The package provides, based on search data, functions for estimating the mortality inflation factor in Frequentist and Bayesian settings. | Apr 22, 2025 | MIT + file LICENSE |
| r-acnr | 1.0.0 | Provides SNP array data from different types of copy-number regions. These regions were identified manually by the authors of the package and may be used to generate realistic data sets with known truth. | Apr 22, 2025 | LGPL (>= 2.1) |
| r-acopula | 0.9.3 | Archimax copulas are mixture of Archimedean and EV copulas. The package provides definitions of several parametric families of generator and dependence function, computes CDF and PDF, estimates parameters, tests for goodness of fit, generates random sample and checks copula properties for custom constructs. In 2-dimensional case explicit formulas for density are used, in the contrary to higher dimensions when all derivatives are linearly approximated. Several non-archimax families (normal, FGM, Plackett) are provided as well. | Apr 22, 2025 | GPL-2 |