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r-edci
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public |
Detection of edge points in images based on the difference of two asymmetric M-kernel estimators. Linear and circular regression clustering based on redescending M-estimators. Detection of linear edges in images.
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2023-06-16 |
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r-ebass
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We propose a new sample size calculation method for trial-based cost-effectiveness analyses. Our strategy is based on the value of perfect information that would remain after the completion of the study.
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2023-06-16 |
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r-ecfsup
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Testing the equality of several covariance functions of functional data. Four different methods are implemented: L2-norm with W-S naive, L2-norm with W-S bias-reduced, L2-norm (Zhang 2013) <ISBN:9781439862735>, and sup-norm with resampling (Guo et al. 2017) <arXiv:1609.04232>.
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2023-06-16 |
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r-dtables
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public |
Towards automation of descriptive frequencies and statistics tables.
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2023-06-16 |
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r-dtk
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This package was created to analyze multi-level one-way experimental designs. It is designed to handle vectorized observation and factor data where there are unequal sample sizes and population variance homogeneity can not be assumed. To conduct the Dunnett modified Tukey-Kramer test (a.k.a. the T3 Procedure), create two vectors: one for your observations and one for the factor level of each observation. The function, gl.unequal, provides a means to more conveniently produce a factor vector with unequal sample sizes. Next, use the DTK.test function to conduct the test and save the output as an object to input into the DTK.plot function, which produces a confidence interval plot for each of the pairwise comparisons. Lastly, the function TK.test conducts the original Tukey-Kramer test.
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2023-06-16 |
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r-dropr
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public |
Drop out analysis for psychologists in a R based web application. Shiny is used to visualize and analyze drop outs tailored to the methods of online survey methodology. Concept and app presented at the SCIP Conference in Long Beach, California.
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2023-06-16 |
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r-drmdel
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public |
Dual empirical likelihood (DEL) inference under semiparametric density ratio models (DRM) in the presence of multiple samples, including population cumulative distribution function estimation, quantile estimation and comparison, density estimation, composite hypothesis testing for DRM parameters which encompasses testing for changes in population distribution functions as a special case, etc.
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2023-06-16 |
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r-dummies
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public |
Expands factors, characters and other eligible classes into dummy/indicator variables.
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2023-06-16 |
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r-ande
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public |
AODE achieves highly accurate classification by averaging over all of a small space.
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2023-06-16 |
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r-dunnetttests
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public |
For the implementation of the step-down or step-up Dunnett testing procedures, the package includes R functions to calculate critical constants and R functions to calculate adjusted P-values of the test statistics. In addition, the package also contains functions to evaluate testing powers and hence the necessary sample sizes specially for the classical problem of comparisons of several treatments with a control.
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2023-06-16 |
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r-edesign
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An implementation of maximum entropy sampling for spatial data is provided. An exact branch-and-bound algorithm as well as greedy and dual greedy heuristics are included.
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2023-06-16 |
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r-eco
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public |
Implements the Bayesian and likelihood methods proposed in Imai, Lu, and Strauss (2008 <DOI: 10.1093/pan/mpm017>) and (2011 <DOI:10.18637/jss.v042.i05>) for ecological inference in 2 by 2 tables as well as the method of bounds introduced by Duncan and Davis (1953). The package fits both parametric and nonparametric models using either the Expectation-Maximization algorithms (for likelihood models) or the Markov chain Monte Carlo algorithms (for Bayesian models). For all models, the individual-level data can be directly incorporated into the estimation whenever such data are available. Along with in-sample and out-of-sample predictions, the package also provides a functionality which allows one to quantify the effect of data aggregation on parameter estimation and hypothesis testing under the parametric likelihood models.
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2023-06-16 |
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r-durmod
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public |
Estimation of piecewise constant mixed proportional hazard competing risk model with NPMLE. The model is described in S. Gaure et al. (2007) <doi:10.1016/j.jeconom.2007.01.015>, J. Heckman and B. Singer (1984) <doi:10.2307/1911491>, and B.G. Lindsay (1983) <doi:10.1214/aos/1176346059>.
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2023-06-16 |
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r-dynia
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public |
Fit dynamic intervention model using the arima() function.
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2023-06-16 |
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r-dynamichazard
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public |
Contains functions that lets you fit dynamic hazard models using state space models. The first implemented model is described in Fahrmeir (1992) <doi:10.1080/01621459.1992.10475232> and Fahrmeir (1994) <doi:10.1093/biomet/81.2.317>. Extensions hereof are available where the Extended Kalman filter is replaced by an unscented Kalman filter. See Christoffersen (2021) <doi:10.18637/jss.v099.i07> for more details. Particle filters and smoothers are also supported more general state space models.
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2023-06-16 |
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r-displayhts
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public |
A package containing R functions for displaying data and results from high-throughput screening experiments.
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2023-06-16 |
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r-dpglasso
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public |
fits the primal graphical lasso, via one-at-a-time block-coordinate descent.
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2023-06-16 |
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r-bitrina
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public |
Provides methods for the binarization and trinarization of one-dimensional data and some visualization functions.
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2023-06-16 |
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r-distdrawr
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public |
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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2023-06-16 |
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r-dicionariosibge
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This package contains the dictionaries for reading microdata from IBGE (Brazilian Institute of Geography and Statistics) surveys PNAD, PME and POF.
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2023-06-16 |
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r-designglmm
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public |
Use simulated annealing to find optimal designs for Poisson regression models with blocks.
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2023-06-16 |
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r-dielectric
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public |
Physical constants. Gold, silver and glass permittivities, together with spline interpolation functions.
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2023-06-16 |
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r-designgg
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public |
The package provides R scripts for designing genetical genomics experiments.
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2023-06-16 |
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r-dne
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public |
The DnE package involves functions to analyse the distribution of a set of given data. The basic idea of the analysis is chi-squared test. Functions which have the form as "is.xxdistribution" are used to analyse whether the data obeys the xxdistrbution. If you do not know which distribution to judge, use function is.dt().
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2023-06-16 |
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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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2023-06-16 |
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r-detestset
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Solvers and test set for stiff and non-stiff differential equations, and differential algebraic equations. See Mazzia, F., Cash, J.R., and K. Soetaert (2012) <DOI:10.1016/j.cam.2012.03.014>.
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2023-06-16 |
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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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2023-06-16 |
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r-documair
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Production of R packages from tagged comments introduced within the code and a minimum of additional documentation files.
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2023-06-16 |
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r-dplrcon
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The concordance method is a non-parametric method based on bootstrapping that is used to test the hypothesis that two subsets of time series are similar in terms of mean, variance or both. This method was developed to address a concern within dendroclimatology that young trees may produce a differing climate response to older more established trees. Details of this method are available in Pirie, M. (2013). The Climate of New Zealand reconstructed from kauri tree rings: Enhancement through the use of novel statistical methodology. PhD. Dissertation, School of Environment and Department of Statistics, University of Auckland, New Zealand. This package also produces a figure with 3 panels, each panel is for a different climate variable. An example of this figure in included in "On the influence of tree size on the climate - growth relationship of New Zealand kauri (Agathis australis): insights from annual, monthly and daily growth patterns. J Wunder, AM Fowler, ER Cook, M Pirie, SPJ McCloskey. Trees 27 (4), 937-948". For further R functions for loading your own dendroclimatology datasets and performing dendrochronology analysis refer to the R package "dplR: Dendrochronology Program Library in R". The concordance procedure is intended to add to the standard dendrochronology techniques provided in "dplR".
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2023-06-16 |
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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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2023-06-16 |
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r-dgodata
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public |
Provides data used by package 'dgo' in examples and vignettes.
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2023-06-16 |
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r-dgmb
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public |
A set of functions have been implemented to generate random data to perform Monte Carlo simulations on structural models with formative constructs and interaction and nonlinear effects (Two-Step PLS Mode B structural models). The setup of the true model considers a simple structure with three formative exogenous constructs related to one formative endogenous construct. The routines take into account the interaction and nonlinear effects of the exogenous constructs on the endogenous construct.
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2023-06-16 |
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r-discriminer
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public |
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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2023-06-16 |
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r-dissutils
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public |
This package has extensible C++ code for computing dissimilarities between vectors. It also has a number of C++ functions for assembling collections of dissimilarities. In particular, it lets you find a matrix of dissimilarities between the rows of two input matrices. There are also functions for finding the nearest neighbors of each row of a matrix, either within the matrix itself or within another matrix.
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2023-06-16 |
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r-datautils
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public |
Contains facilities such as getting the current timestamp in decimal seconds, computing interval w.r.t. a reference timestamp, and custom plotting with error bars.
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2023-06-16 |
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r-dominanceanalysis
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Dominance analysis is a method that allows to compare the relative importance of predictors in multiple regression models: ordinary least squares, generalized linear models and hierarchical linear models. The main principles and methods of dominance analysis are described in Budescu, D. V. (1993) <doi:10.1037/0033-2909.114.3.542> and Azen, R., & Budescu, D. V. (2003) <doi:10.1037/1082-989X.8.2.129> for ordinary least squares regression. Subsequently, the extensions for multivariate regression, logistic regression and hierarchical linear models were described in Azen, R., & Budescu, D. V. (2006) <doi:10.3102/10769986031002157>, Azen, R., & Traxel, N. (2009) <doi:10.3102/1076998609332754> and Luo, W., & Azen, R. (2013) <doi:10.3102/1076998612458319>, respectively.
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2023-06-16 |
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r-diffmeshgp
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This R function implements the nonstationary Kriging model proposed by Tuo, Wu and Yu (2014) <DOI:10.1080/00401706.2013.842935> for analyzing multi-fidelity computer outputs. This function computes the maximum likelihood estimates for the model parameters as well as the predictive means and variances of the exact solution (i.e., the conceptually highest fidelity).
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2023-06-16 |
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r-dqshiny
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Provides highly customizable modules to enhance your shiny apps. Includes layout independent collapsible boxes and value boxes, a very fast autocomplete input, rhandsontable extensions for filtering and paging and much more.
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2023-06-16 |
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r-dotdot
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Use '..' on the right hand side of the ':=' operator as a shorthand for the left hand side, so that 'var := f(..) + ..' is equivalent to 'var <- f(var) + var'. This permits the user to be explicit about growing an object or overwriting it using its previous value, avoids repeating a variable name, and saves keystrokes, time, visual space and cognitive load.
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2023-06-16 |
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r-dmt
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Probabilistic dependency modeling toolkit.
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2023-06-16 |
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r-demetics
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This package allows to calculate the fixation index Gst (Nei, 1973) and the differentiation index D (Jost, 2008) pairwise between or averaged over several populations. P-values, stating the significance of differentiation, and 95 percent confidence intervals can be estimated using bootstrap resamplings. In the case that more than two populations are compared pairwise, the p-values are adjusted by bonferroni correction and in several other ways due to the multiple comparison from one data set.
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2023-06-16 |
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r-binarize
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Provides methods for the binarization of one-dimensional data and some visualization functions.
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2023-06-16 |
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r-det
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public |
Builds both ROC (Receiver Operating Characteristic) and DET (Detection Error Tradeoff) curves from a set of predictors, which are the results of a binary classification system. The curves give a general vision of the performance of the classifier, and are useful for comparing performance of different systems.
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2023-06-16 |
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r-df2json
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It handles numerics, characters, factors, and logicals.
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2023-06-16 |
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r-cytobankbridger
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A collection of tools that leverage the CytobankAPI R package <https://cran.r-project.org/web/packages/CytobankAPI/vignettes/cytobank-quickstart.html> to complete more complex workflows, and add/extend various Cytobank features.
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2023-06-16 |
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r-divmelt
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This package has tools for analyzing DNA melting data to generate HRM scores, the DNA diversity measure output of the HRM Diversity Assay. For additional documentation visit http://code.google.com/p/divmelt/.
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2023-06-16 |
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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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2023-06-16 |
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r-dmwr
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This package includes functions and data accompanying the book "Data Mining with R, learning with case studies" by Luis Torgo, CRC Press 2010.
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2023-06-16 |
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r-dpcid
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Differential partial correlation identification with the ridge and the fusion penalties.
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2023-06-16 |
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r-delt
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public |
We implement methods for estimating multivariate densities. We include a discretized kernel estimator, an adaptive histogram (a greedy histogram and a CART-histogram), stagewise minimization, and bootstrap aggregation.
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2023-06-16 |
