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r-distdrawr
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Download data from the FlorKart database of the floristic field mapping in Germany in a convenient way. The database incorporates distribution data for plants in Germany on the basis of quadrants on a topographical map with a resolution of 1 : 25000 (TK 25). The data is owned and provided by the German Federal Agency for Nature Conservation (BfN) and the Network Phytodiversity in Germany (NetPhyD). For further information please visit <http://www.floraweb.de/pflanzenarten/hintergrundtexte_florkart_organisation.html>. The author of this package is in no way associated with the BfN or NetPhyD.
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2025-04-22 |
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r-distcrete
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Creates discretised versions of continuous distribution functions by mapping continuous values to an underlying discrete grid, based on a (uniform) frequency of discretisation, a valid discretisation point, and an integration range. For a review of discretisation methods, see Chakraborty (2015) <doi:10.1186/s40488-015-0028-6>.
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2025-04-22 |
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r-distance.sample.size
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Calculates the study size (either number of detections, or proportion of region that should be covered) to achieve a target precision for the estimated abundance. The calculation allows for the penalty due to unknown detection function, and for overdispersion. The user must specify a guess at the true detection function.
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2025-04-22 |
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r-disposables
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Create disposable R packages for testing. You can create, install and load multiple R packages with a single function call, and then unload, uninstall and destroy them with another function call. This is handy when testing how some R code or an R package behaves with respect to other packages.
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2025-04-22 |
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r-dispmod
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Functions for estimating Gaussian dispersion regression models (Aitkin, 1987 <doi:10.2307/2347792>), overdispersed binomial logit models (Williams, 1987 <doi:10.2307/2347977>), and overdispersed Poisson log-linear models (Breslow, 1984 <doi:10.2307/2347661>), using a quasi-likelihood approach.
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2025-04-22 |
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r-displayhts
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A package containing R functions for displaying data and results from high-throughput screening experiments.
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2025-04-22 |
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r-disparityfilter
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The disparity filter algorithm is a network reduction technique to identify the 'backbone' structure of a weighted network without destroying its multi-scale nature. The algorithm is documented in M. Angeles Serrano, Marian Boguna and Alessandro Vespignani in "Extracting the multiscale backbone of complex weighted networks", Proceedings of the National Academy of Sciences 106 (16), 2009. This implementation of the algorithm supports both directed and undirected networks.
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2025-04-22 |
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r-dishet
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public |
Model cell type heterogeneity of bulk renal cell carcinoma. The observed gene expression in bulk tumor sample is modeled by a log-normal distribution with the location parameter structured as a linear combination of the component-specific gene expressions.
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2025-04-22 |
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r-diseasemapping
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Formatting of population and case data, calculation of Standardized Incidence Ratios, and fitting the BYM model using INLA.
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2025-04-22 |
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r-discsurv
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Provides data transformations, estimation utilities, predictive evaluation measures and simulation functions for discrete time survival analysis.
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2025-04-22 |
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r-discriminer
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Functions for Discriminant Analysis and Classification purposes covering various methods such as descriptive, geometric, linear, quadratic, PLS, as well as qualitative discriminant analyses
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2025-04-22 |
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r-discretization
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This package is a collection of supervised discretization algorithms. It can also be grouped in terms of top-down or bottom-up, implementing the discretization algorithms.
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2025-04-22 |
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r-discreterv
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Create, manipulate, transform, and simulate from discrete random variables. The syntax is modeled after that which is used in mathematical statistics and probability courses, but with powerful support for more advanced probability calculations. This includes the creation of joint random variables, and the derivation and manipulation of their conditional and marginal distributions.
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2025-04-22 |
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r-discretemtp
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Multiple testing procedures for discrete test statistics, that use the known discrete null distribution of the p-values for simultaneous inference.
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2025-04-22 |
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r-discretelaplace
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Probability mass function, distribution function, quantile function, random generation and estimation for the skew discrete Laplace distributions.
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2025-04-22 |
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r-disclap
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Discrete Laplace exponential family for models such as a generalized linear model
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2025-04-22 |
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r-discfrail
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public |
Functions for fitting Cox proportional hazards models for grouped time-to-event data, where the shared group-specific frailties have a discrete nonparametric distribution. The methods proposed in the package is described by Gasperoni, F., Ieva, F., Paganoni, A. M., Jackson, C. H., Sharples, L. (2018) <doi:10.1093/biostatistics/kxy071>. There are also functions for simulating from these models, with a nonparametric or a parametric baseline hazard function.
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2025-04-22 |
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r-dirmult
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Estimate parameters in Dirichlet-Multinomial and compute profile log-likelihoods.
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2025-04-22 |
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r-directstandardisation
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Calculate adjusted means and proportions of a variable by groups defined by another variable by direct standardisation, standardised to the structure of the dataset.
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2025-04-22 |
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r-directlabels
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An extensible framework for automatically placing direct labels onto multicolor 'lattice' or 'ggplot2' plots. Label positions are described using Positioning Methods which can be re-used across several different plots. There are heuristics for examining "trellis" and "ggplot" objects and inferring an appropriate Positioning Method.
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2025-04-22 |
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r-directeffects
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A set of functions to estimate the controlled direct effect of treatment fixing a potential mediator to a specific value. Implements the sequential g-estimation estimator described in Vansteelandt (2009) <doi:10.1097/EDE.0b013e3181b6f4c9> and Acharya, Blackwell, and Sen (2016) <doi:10.1017/S0003055416000216>.
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2025-04-22 |
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r-directedclustering
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Allows the computation of clustering coefficients for directed and weighted networks by using different approaches. It allows to compute clustering coefficients that are not present in 'igraph' package. A description of clustering coefficients can be found in "Directed clustering in weighted networks: a new perspective", Clemente, G.P., Grassi, R. (2017), <doi:10.1016/j.chaos.2017.12.007>.
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2025-04-22 |
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r-diceeval
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public |
Estimation, validation and prediction of models of different types : linear models, additive models, MARS,PolyMARS and Kriging.
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2025-04-22 |
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r-dialr
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Parse, format, and validate international phone numbers using Google's 'libphonenumber' java library, <https://github.com/googlei18n/libphonenumber>.
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2025-04-22 |
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r-bivarp
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Parameter estimation of bivariate distribution functions modeled as a Archimedean copula function. The input data may contain values from right censored. Used marginal distributions are two-parameter. Methods for density, distribution, survival, random sample generation.
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2025-04-22 |
