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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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2025-04-22 |
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r-mpinet
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(1) Our system provides a network-based strategies for metabolite pathway identification.(2) The MPINet can support the identification of pathways using Hypergeometric test based on metabolite set. (3)MPINet can support pathways from multiple databases.
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2025-04-22 |
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r-mpe
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Functions for calculating sample size and power for clinical trials with multiple (co-)primary endpoints.
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2025-04-22 |
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r-mpdir
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Data sets and scripts for Modeling Psychophysical Data in R (Springer).
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2025-04-22 |
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r-mpcv
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Multivariate process capability analysis using the multivariate process capability vector. Allows to analyze a multivariate process with both normally and non-normally distributed and also with dependent and independent quality characteristics.
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2025-04-22 |
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r-mpcmp
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A collection of functions for estimation, testing and diagnostic checking for the mean-parametrized Conway-Maxwell Poisson (COM-Poisson) regression model of Huang (2017) <doi:10.1177/1471082X17697749>.
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2025-04-22 |
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r-mpci
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It performs the followings Multivariate Process Capability Indices: Shahriari et al. (1995) Multivariate Capability Vector, Taam et al. (1993) Multivariate Capability Index (MCpm), Pan and Lee (2010) proposal (NMCpm) and the followings based on Principal Component Analysis (PCA):Wang and Chen (1998), Xekalaki and Perakis (2002) and Wang (2005). Two datasets are included.
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2025-04-22 |
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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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2025-04-22 |
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r-mountainplot
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Lattice functions for drawing folded empirical cumulative distribution plots, or mountain plots. A mountain plot is similar to an empirical CDF plot, except that the curve increases from 0 to 0.5, then decreases from 0.5 to 1 using an inverted scale at the right side.
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2025-04-22 |
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r-moult
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Functions to estimate start and duration of moult from moult data, based on models developed in Underhill and Zucchini (1988, 1990).
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2025-04-22 |
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r-motilitylab
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Statistics to quantify tracks of moving things (x-y-z-t data), such as cells, bacteria or animals. Available measures include mean square displacement, confinement ratio, autocorrelation, straightness, turning angle, and fractal dimension.
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2025-04-22 |
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r-most
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Provides functions similar to the 'SAS' macros previously provided to accompany Collins, Dziak, and Li (2009) <DOI:10.1037/a0015826> and Dziak, Nahum-Shani, and Collins (2012) <DOI:10.1037/a0026972>, papers which outline practical benefits and challenges of factorial and fractional factorial experiments for scientists interested in developing biological and/or behavioral interventions, especially in the context of the multiphase optimization strategy (see Collins, Kugler & Gwadz 2016) <DOI:10.1007/s10461-015-1145-4>. The package currently contains three functions. First, RelativeCosts1() draws a graph of the relative cost of complete and reduced factorial designs versus other alternatives. Second, RandomAssignmentGenerator() returns a dataframe which contains a list of random numbers that can be used to conveniently assign participants to conditions in an experiment with many conditions. Third, FactorialPowerPlan() estimates the power, detectable effect size, or required sample size of a factorial or fractional factorial experiment, for main effects or interactions, given several possible choices of effect size metric, and allowing pretests and clustering.
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2025-04-22 |
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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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2025-04-22 |
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r-morsegen
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MorseGen is a program for generating raw data based on user-specified summary (descriptive) statistics. Samples based on the supplied statistics are drawn from a normal distribution (or, in some cases, an exponential distribution) and scaled to match the desired descriptive statistics. Intended uses include creating raw data that fits desired characteristics or to replicate the results in a published study.
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2025-04-22 |
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r-morgenstemning
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This package is a port of the MATLAB colourmap functions accompanying the paper M. Geissbuehler and T. Lasser, "How to display data by color schemes compatible with red-green color perception deficiencies," Opt. Express 21, 9862-9874 (2013) to R.
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2025-04-22 |
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r-morder
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MOrder provide functions to check time homogeneity and order of markov chain by using chi-squared test, AIC value and BIC value.
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2025-04-22 |
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r-mopsocd
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A multi-objective optimization solver based on particle swarm optimization with crowding distance.
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2025-04-22 |
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r-monte.carlo.se
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Computes Monte Carlo standard errors for summaries of Monte Carlo output. Summaries and their standard errors are based on columns of Monte Carlo simulation output. Dennis D. Boos and Jason A. Osborne (2015) <doi:10.1111/insr.12087>.
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2025-04-22 |
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r-monotonicity
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Test for monotonicity in financial variables sorted by portfolios. It is conventional practice in empirical research to form portfolios of assets ranked by a certain sort variable. A t-test is then used to consider the mean return spread between the portfolios with the highest and lowest values of the sort variable. Yet comparing only the average returns on the top and bottom portfolios does not provide a sufficient way to test for a monotonic relation between expected returns and the sort variable. This package provides nonparametric tests for the full set of monotonic patterns by Patton, A. and Timmermann, A. (2010) <doi:10.1016/j.jfineco.2010.06.006> and compares the proposed results with extant alternatives such as t-tests, Bonferroni bounds, and multivariate inequality tests through empirical applications and simulations.
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2025-04-22 |
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r-monographar
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Contains functions intended to facilitate the production of plant taxonomic monographs. The package includes functions to convert tables into taxonomic descriptions, lists of collectors, examined specimens, and can generate a monograph skeleton. Additionally, wrapper functions to batch the production of phenology charts and distributional and diversity maps are also available.
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2025-04-22 |
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r-mondrian
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The unique function of this package allows representing in a single graph the relative occurrence and co-occurrence of events measured in a sample. As examples, the package was applied to describe the occurrence and co-occurrence of different species of bacterial or viral symbionts infecting arthropods at the individual level. The graphics allows determining the prevalence of each symbiont and the patterns of multiple infections (i.e. how different symbionts share or not the same individual hosts). We named the package after the famous painter as the graphical output recalls Mondrian’s paintings.
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2025-04-22 |
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r-mondate
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Keep track of dates in terms of months. Model dates as at close of business. Perform date arithmetic in units of "months" and "years" (multiples of months). Allow "infinite" dates to model "ultimate" time spans.
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2025-04-22 |
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r-momtrunc
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It computes the raw moments for the truncated and folded multivariate normal, Skew-normal (SN), Extended skew normal (ESN) and Student's t-distribution. It also offers specific functions to compute the mean and variance-covariance matrix as well as the cumulative distribution function (cdf) for the folded normal, SN, ESN, and folded t-distribution. Density and random deviates are offered for the ESN (SN as particular case) distribution. Most algorithms are extensions based on Kan, R., & Robotti, C. (2017) <doi:10.1080/10618600.2017.1322092>.
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2025-04-22 |
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r-moments
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Functions to calculate: moments, Pearson's kurtosis, Geary's kurtosis and skewness; tests related to them (Anscombe-Glynn, D'Agostino, Bonett-Seier).
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2025-04-22 |
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r-momentchi2
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A collection of moment-matching methods for computing the cumulative distribution function of a positively-weighted sum of chi-squared random variables. Methods include the Satterthwaite-Welch method, Hall-Buckley-Eagleson method, Wood's F method, and the Lindsay-Pilla-Basak method.
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2025-04-22 |
