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r-mrpostman
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Multiple IMAP (Internet Message Access Protocol) commands based on the RFC 3501 manual (Crispin, 2003, <doi:10.17487/RFC3501>), its updates, and other related documents. Besides other features, 'mRpostman' provides functions for listing, selecting and renaming mailboxes, as well as moving, fetching, and searching for messages using several criteria.
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2023-06-16 |
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r-mpr
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Package for fitting Multi-Parameter Regression (MPR) models to right-censored survival data. These are flexible parametric regression models which extend standard models, for example, proportional hazards.
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2023-06-16 |
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r-mpkn
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A matrix discrete model having the form 'M[i+1] = (I + Q)*M[i]'. The calculation of the values of 'M[i]' only for pre-selected values of 'i'. The method of calculation is presented in the vignette 'Fundament' ('Base'). Maybe it`s own idea of the author of the package. A weakness is that the method gives information only in selected steps of the process. It mainly refers to cases with matrices that are not Markov chain. If 'Q' is Markov transition matrix, then MUPkL() may be used to calculate the steady-state distribution 'p' for 'p = Q*p'. Matrix power of non integer (matrix.powerni()) gives the same results as a mpower() from package 'matlib'. References: "Markov chains", (<https://en.wikipedia.org/wiki/Markov_chain#Expected_number_of_visits>). Donald R. Burleson, Ph.D. (2005), "ON NON-INTEGER POWERS OF A SQUARE MATRIX", (<http://www.blackmesapress.com/Eigenvalues.htm>).
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2023-06-16 |
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r-mosaicdata
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Data sets from Project MOSAIC (<http://mosaic-web.org>) used to teach mathematics, statistics, computation and modeling. Funded by the NSF, Project MOSAIC is a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all.
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2023-06-16 |
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r-mmc
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Provides routines for multivariate measurement error correction. Includes procedures for linear, logistic and Cox regression models. Bootstrapped standard errors and confidence intervals can be obtained for corrected estimates.
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2023-06-16 |
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r-mixedts
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We provide detailed functions for univariate Mixed Tempered Stable distribution.
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2023-06-16 |
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r-miney
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This package implements the core idea of games known as 'Minesweeper' on Microsoft Windows or 'KMines' for KDE on Unix-like operating systems.
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2023-06-16 |
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r-metabolouise
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Simulating dynamic (longitudinal, time-resolved) metabolomics data based on an underlying biological network. The network is initiating with certain concentrations and evolves over a simulated time period. Optionally external influxes (concentration drivers) can be added.
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2023-06-16 |
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r-mctm
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Transition matrices (probabilities or counts) estimation for discrete Markov Chains of order n (1 <= n <= 5).
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2023-06-16 |
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r-maptree
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Functions with example data for graphing, pruning, and mapping models from hierarchical clustering, and classification and regression trees.
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2023-06-16 |
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r-lpmodeler
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lpmodeler is a set of user-friendly functions to simplify the modelling of linear programs (LP) and mixed integer programs (MIP). It provides a unified interface compatible with optimization packages: Rsymphony.
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2023-06-16 |
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r-loopanalyst
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Loop analysis makes qualitative predictions of variable change in a system of causally interdependent variables, where "qualitative" means sign only (i.e. increases, decreases, non change, and ambiguous). This implementation includes output support for graphs in .dot file format for use with visualization software such as 'graphviz' (<http://graphviz.org>). 'LoopAnalyst' provides tools for the construction and output of community matrices, computation and output of community effect matrices, tables of correlations, adjoint, absolute feedback, weighted feedback and weighted prediction matrices, change in life expectancy matrices, and feedback, path and loop enumeration tools.
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2023-06-16 |
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r-lomb
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Computes the Lomb-Scargle Periodogram for unevenly sampled time series. Includes a randomization procedure to obtain reliable p-values.
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2023-06-16 |
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r-lock5data
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Datasets for "Statistics: Unlocking the Power of Data" by Lock^5 Datasets for the first and second editions of the book. Older editions of revised data often have an extra 1e in the name.
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2023-06-16 |
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r-loadr
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Provides intuitive functions for loading objects into environments, encouraging less cluttered workspaces and sharing variables with large or reusable data across users and sessions. The user provides named variables which are loaded into the variable environment for later retrieval.
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2023-06-16 |
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r-ln0scis
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Construct the simultaneous confidence intervals for ratios of means of Log-normal populations with zeros. It also has a Python module that do the same thing, and can be applied to multiple comparisons of parameters of any k mixture distributions. And we provide four methods, the method based on generalized pivotal quantity with order statistics and the quantity based on Wilson by Li et al. (2009) <doi:10.1016/j.spl.2009.03.004> (GPQW), and the methods based on generalized pivotal quantity with order statistics and the quantity based on Hannig (2009) <doi:10.1093/biomet/asp050> (GPQH). The other two methods are based on two-step MOVER intervals by Amany H, Abdel K (2015) <doi:10.1080/03610918.2013.767911>. We deduce Fiducial generalized pivotal two-step MOVER intervals based on Wilson quantity (FMW) and based on Hannig's quantity (FMWH). All these approach you can find in the paper of us which it has been submitted.
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2023-06-16 |
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r-lmviz
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Contains three shiny applications. Two are meant to explore linear model inference feature through simulation. The third is a game to learn interpreting diagnostic plots.
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2023-06-16 |
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r-lisp
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Though SRFI-1 scopes both list-processing and higher-order programming, we'll save some list-orthogonal functions for the `functional' package; this is freely a mixture of implementation and API.
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2023-06-16 |
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r-linbin
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Short for 'linear binning', the linbin package provides functions for manipulating, binning, and plotting linearly referenced data. Although developed for data collected on river networks, it can be used with any interval or point data referenced to a 1-dimensional coordinate system. Flexible bin generation and batch processing makes it easy to compute and visualize variables at multiple scales, useful for identifying patterns within and between variables and investigating the influence of scale of observation on data interpretation.
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2023-06-16 |
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r-liftr
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Persistent reproducible reporting by containerization of R Markdown documents.
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2023-06-16 |
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r-lift
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Compute the top decile lift and plot the lift curve. Cumulative lift curves are also supported.
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2023-06-16 |
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r-lest
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Functions for vectorised conditional recoding of variables. case_when() enables you to vectorise multiple if and else statements (like 'CASE WHEN' in 'SQL'). if_else() is a stricter and more predictable version of ifelse() in 'base' that preserves attributes. These functions are forked from 'dplyr' with all package dependencies removed and behave identically to the originals.
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2023-06-16 |
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r-nnlasso
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Estimates of coefficients of lasso penalized linear regression and generalized linear models subject to non-negativity constraints on the parameters using multiplicative iterative algorithm. Entire regularization path for a sequence of lambda values can be obtained. Functions are available for creating plots of regularization path, cross validation and estimating coefficients at a given lambda value. There is also provision for obtaining standard error of coefficient estimates.
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2023-06-16 |
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r-nltt
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Provides functions to calculate the normalised Lineage-Through- Time (nLTT) statistic, given two phylogenetic trees. The nLTT statistic measures the difference between two Lineage-Through-Time curves, where each curve is normalised both in time and in number of lineages.
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2023-06-16 |
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r-nbddirichlet
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The Dirichlet (aka NBD-Dirichlet) model describes the purchase incidence and brand choice of consumer products. We estimate the model and summarize various theoretical quantities of interest to marketing researchers. Also provides functions for making tables that compare observed and theoretical statistics.
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2023-06-16 |
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r-nardl
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Computes the nonlinear cointegrating autoregressive distributed lag model with p lags of the dependent variables and q lags of independent variables proposed by (Shin, Yu & Greenwood-Nimmo, 2014 <doi:10.1007/978-1-4899-8008-3_9>).
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2023-06-16 |
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r-mvtmeta
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This package contains functions to run fixed effects or random effects multivariate meta-analysis.
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2023-06-16 |
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r-mumin
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Tools for performing model selection and model averaging. Automated model selection through subsetting the maximum model, with optional constraints for model inclusion. Model parameter and prediction averaging based on model weights derived from information criteria (AICc and alike) or custom model weighting schemes.
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2023-06-16 |
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r-multivarsel
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It performs variable selection in a multivariate linear model by estimating the covariance matrix of the residuals then use it to remove the dependence that may exist among the responses and eventually performs variable selection by using the Lasso criterion. The method is described in the paper Perrot-Dockès et al. (2017) <arXiv:1704.00076>.
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2023-06-16 |
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r-multicmp
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A toolkit containing statistical analysis models motivated by multivariate forms of the Conway-Maxwell-Poisson (COM-Poisson) distribution for flexible modeling of multivariate count data, especially in the presence of data dispersion. Currently the package only supports bivariate data, via the bivariate COM-Poisson distribution described in Sellers et al. (2016) <doi:10.1016/j.jmva.2016.04.007>. Future development will extend the package to higher-dimensional data.
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2023-06-16 |
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r-muerelativerisk
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Implements an estimator for relative risk based on the median unbiased estimator. The relative risk estimator is well defined and performs satisfactorily for a wide range of data configurations. The details of the method are available in Carter et al (2010) <doi:10.1111/j.1467-9876.2010.00711.x>.
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2023-06-16 |
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r-msmwra
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Data sets in the book entitled "Multivariate Statistical Methods with R Applications", H.Bulut (2018). The book will be published in Turkish and the original name of this book will be "R Uygulamalari ile Cok Degiskenli Istatistiksel Yontemler".
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2023-06-16 |
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r-mrqol
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We can calculate directly used this package the Minimal Clinically Important Difference by applying the Anchor-based method and the Response shift effect by applying the Then-Test method.
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2023-06-16 |
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r-mozzie
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Weekly notified dengue cases in 25 districts of Sri Lanka from 2008/ week-52 to 2014/ week-21.
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2023-06-16 |
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r-modtempeff
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Fits a Constrained Segmented Distributed Lag regression model to epidemiological time series of mortality, temperature, and other confounders.
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2023-06-16 |
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r-mlid
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Tools and functions to fit a multilevel index of dissimilarity.
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2023-06-16 |
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r-mldr.datasets
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Large collection of multilabel datasets along with the functions needed to export them to several formats, to make partitions, and to obtain bibliographic information.
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2023-06-16 |
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r-mixsal
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The current version of the 'MixSAL' package allows users to generate data from a multivariate SAL distribution or a mixture of multivariate SAL distributions, evaluate the probability density function of a multivariate SAL distribution or a mixture of multivariate SAL distributions, and fit a mixture of multivariate SAL distributions using the Expectation-Maximization (EM) algorithm (see Franczak et. al, 2014, <doi:10.1109/TPAMI.2013.216>, for details).
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2023-06-16 |
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r-mixedpsy
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Tools for the analysis of psychophysical data. This package allows to estimate the Point of Subjective Equivalence (PSE) and the Just Noticeable Difference (JND), either from a psychometric function or from a Generalized Linear Mixed Model (GLMM). Additionally, the package allows plotting the fitted models and the response data, simulating psychometric functions of different shapes, and simulating data sets. For a description of the use of GLMMs applied to psychophysical data, refer to Moscatelli et al. (2012), <doi:10.1167/12.11.26>.
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2023-06-16 |
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r-mistr
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A flexible computational framework for mixture distributions with the focus on the composite models.
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2023-06-16 |
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r-minimap
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Create tile grid maps, which are like choropleth maps except each region is represented with equal visual space.
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2023-06-16 |
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r-minicran
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Makes it possible to create an internally consistent repository consisting of selected packages from CRAN-like repositories. The user specifies a set of desired packages, and 'miniCRAN' recursively reads the dependency tree for these packages, then downloads only this subset. The user can then install packages from this repository directly, rather than from CRAN. This is useful in production settings, e.g. server behind a firewall, or remote locations with slow (or zero) Internet access.
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2023-06-16 |
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r-mimix
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Tools to combine results for multiply-imputed data using mixture approximations
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2023-06-16 |
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r-midastouch
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Contains the function mice.impute.midastouch(). Technically this function is to be run from within the 'mice' package (van Buuren et al. 2011), type ??mice. It substitutes the method 'pmm' within mice by 'midastouch'. The authors have shown that 'midastouch' is superior to default 'pmm'. Many ideas are based on Siddique / Belin 2008's MIDAS.
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2023-06-16 |
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r-micar
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'Mica' is a server application used to create data web portals for large-scale epidemiological studies or multiple-study consortia. 'Mica' helps studies to provide scientifically robust data visibility and web presence without significant information technology effort. 'Mica' provides a structured description of consortia, studies, annotated and searchable data dictionaries, and data access request management. This 'Mica' client allows to perform data extraction for reporting purposes.
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2023-06-16 |
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r-meto
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Meteorological Tools following the FAO56 irrigation paper of Allen et al. (1998) [1]. Functions for calculating: reference evapotranspiration (ETref), extraterrestrial radiation (Ra), net radiation (Rn), saturation vapor pressure (satVP), global radiation (Rs), soil heat flux (G), daylight hours, and more. [1] Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome, 300(9).
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2023-06-16 |
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r-memor
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A 'rmarkdown' template that supports company logo, contact info, watermarks and more. Currently restricted to 'Latex'/'Markdown'; a similar 'HTML' theme will be added in the future.
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2023-06-16 |
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r-meifly
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Exploratory model analysis. Fit and graphical explore ensembles of linear models.
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2023-06-16 |
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r-medor
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This package contains the functions used to perform some confidence statistics based in population median.
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2023-06-16 |
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r-med
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Nonparametric estimation and inference for natural direct and indirect effects by Chan, Imai, Yam and Zhang (2016) <arXiv:1601.03501>.
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2023-06-16 |
