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r-laeken
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Estimation of indicators on social exclusion and poverty, as well as Pareto tail modeling for empirical income distributions.
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2023-06-16 |
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r-labeledloop
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Support labeled loop and escape from nested loop
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2023-06-16 |
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r-kpmt
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Functions that implement the known population median test.
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2023-06-16 |
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r-knitrbootstrap
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A framework to create Bootstrap <http://getbootstrap.com/> HTML reports from 'knitr' 'rmarkdown'.
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2023-06-16 |
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r-kmodr
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An implementation of the 'k-means--' algorithm proposed by Chawla and Gionis, 2013 in their paper, "k-means-- : A unified approach to clustering and outlier detection. SIAM International Conference on Data Mining (SDM13)", and using 'ordering' described by Howe, 2013 in the thesis, "Clustering and anomaly detection in tropical cyclones". Useful for creating (potentially) tighter clusters than standard k-means and simultaneously finding outliers inexpensively in multidimensional space.
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2023-06-16 |
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r-kendl
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Calculate the kernel-smoothed nonparametric estimator for the exposure distribution in presence of detection limits.
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2023-06-16 |
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r-kaphom
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Tests the homogeneity of intraclass kappa statistics obtained from independent studies or a stratified study with binary results. It is desired to compare the kappa statistics obtained in multi-center studies or in a single stratified study to give a common or summary kappa using all available information. If the homogeneity test of these kappa statistics is not rejected, then it is possible to make inferences over a single kappa statistic that summarizes all the studies. Muammer Albayrak, Kemal Turhan, Yasemin Yavuz, Zeliha Aydin Kasap (2019) <doi:10.1080/03610918.2018.1538457> Jun-mo Nam (2003) <doi:10.1111/j.0006-341X.2003.00118.x> Jun-mo Nam (2005) <doi:10.1002/sim.2321>Mousumi Banerjee, Michelle Capozzoli, Laura McSweeney,Debajyoti Sinha (1999) <doi:10.2307/3315487> Allan Donner, Michael Eliasziw, Neil Klar (1996) <doi:10.2307/2533154>.
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2023-06-16 |
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r-jrvfinance
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Implements the basic financial analysis functions similar to (but not identical to) what is available in most spreadsheet software. This includes finding the IRR and NPV of regularly spaced cash flows and annuities. Bond pricing and YTM calculations are included. In addition, Black Scholes option pricing and Greeks are also provided.
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2023-06-16 |
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r-jmvcore
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A framework for creating rich interactive analyses for the jamovi platform (see <https://www.jamovi.org> for more information).
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2023-06-16 |
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r-jdmbs
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Black-Scholes model [Black (1973) <doi:10.1086/260062>] is important to calculate option prices in the stock market and a variety of improved models are studied. In this package, I propose methods in order to calculate both Black-Scholes model and Jump diffusion model [Kou (2002) <doi:10.1287/mnsc.48.8.1086.166>] by Monte Carlo methods. This package can be used for computational finance.
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2023-06-16 |
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r-jcp
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Procedures for joint detection of changes in both expectation and variance in univariate sequences. Performs a statistical test of the null hypothesis of the absence of change points. In case of rejection performs an algorithm for change point detection. References - Bivariate change point detection (2019+), Michael Messer.
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2023-06-16 |
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r-ipwsurvival
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In observational studies, the presence of confounding factors is common and the comparison of different groups of subjects requires adjustment. In this package, we propose simple functions to estimate adjusted survival curves and log-rank test based on inverse probability weighting (IPW).
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2023-06-16 |
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r-ipflasso
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The core of the package is cvr2.ipflasso(), an extension of glmnet to be used when the (large) set of available predictors is partitioned into several modalities which potentially differ with respect to their information content in terms of prediction. For example, in biomedical applications patient outcome such as survival time or response to therapy may have to be predicted based on, say, mRNA data, miRNA data, methylation data, CNV data, clinical data, etc. The clinical predictors are on average often much more important for outcome prediction than the mRNA data. The ipflasso method takes this problem into account by using different penalty parameters for predictors from different modalities. The ratio between the different penalty parameters can be chosen by cross-validation.
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2023-06-16 |
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r-ionr
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Provides item exclusion procedure, which is a formal method to test 'Indifference Of iNdicator' (ION). When a latent personality trait-outcome association is assumed, then the association strength should not depend on which subset of indicators (i.e. items) has been chosen to reflect the trait. Personality traits are often measured (reflected) by a sum-score of a certain set of indicators. Item exclusion procedure randomly excludes items from a sum-score and tests, whether the sum-score - outcome correlation changes. ION has been achieved, when any item can be excluded from the sum-score without the sum-score - outcome correlation substantially changing . For more details, see Vainik, Mottus et. al, (2015) "Are Trait-Outcome Associations Caused by Scales or Particular Items? Example Analysis of Personality Facets and BMI",European Journal of Personality DOI: <10.1002/per.2009> .
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2023-06-16 |
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r-intrvals
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public |
Calculates event rates and compares means and variances of groups of interval data corrected for missed arrival observations.
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2023-06-16 |
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r-interim
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public |
Allows the simulation of the recruitment and both the event and treatment phase of a clinical trial. Based on these simulations, the timing of interim analyses can be assessed.
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2023-06-16 |
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r-imputemissings
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Compute missing values on a training data set and impute them on a new data set. Current available options are median/mode and random forest.
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2023-06-16 |
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r-imprprobest
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A minimum distance estimator is calculated for an imprecise probability model. The imprecise probability model consists of upper coherent previsions whose credal sets are given by a finite number of constraints on the expectations. The parameter set is finite. The estimator chooses that parameter such that the empirical measure lies next to the corresponding credal set with respect to the total variation norm.
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2023-06-16 |
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r-idr
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This is a package for estimating the copula mixture model and plotting correspondence curves in "Measuring reproducibility of high-throughput experiments" (2011), Annals of Applied Statistics, Vol. 5, No. 3, 1752-1779, by Li, Brown, Huang, and Bickel
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2023-06-16 |
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r-icv
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Functions for computing the global and local Gaussian density estimates based on the ICV bandwidth. See the article of Savchuk, O.Y., Hart, J.D., Sheather, S.J. (2010). Indirect cross-validation for density estimation. Journal of the American Statistical Association, 105(489), 415-423 <doi:10.1198/jasa.2010.tm08532>.
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2023-06-16 |
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r-icestaf
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Functions to support the ICES Transparent Assessment Framework <http://taf.ices.dk> to organize data, methods, and results used in ICES assessments. ICES is an organization facilitating international collaboration in marine science.
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2023-06-16 |
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r-ialsasynthesis
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Synthesizes information across collaborating research. Created specifically for Integrative Analysis of Longitudinal Studies of Aging (IALSA).
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2023-06-16 |
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r-hypothesestest
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Compute the confidence interval of the population mean with one sample or of the difference of population means of two samples from normal distributions or t-distributions.Compute the confidence interval of population variance with one sample or of the difference of population variances of two samples by chi-square tests.Test for population mean or the differences of two normal samples under normality with the given null hypothesis H0,which depends on the user,so that he can know if he can reject H0 or not at the significance level alpha.Do the chi-square tests with one or two samples which have multinomial distributions by using an approximate chi-square distribution when n is large enough.
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2023-06-16 |
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r-hripw
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Estimates the log hazard ratio associated with a binary exposure using a Cox PH model weighted by the propensity score. Propensity model is estimated using a simple logistic regression. Variance estimation takes into account the propensity score estimation step with the method proposed by Hajage et al. (2018) <doi:10.1002/bimj.201700330>. Both the average treatment effect on the overall (ATE) or the treated (ATT) population can be estimated. For the ATE estimation, both unstabilized and stabilized weights can be used.
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2023-06-16 |
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r-hpackedbubble
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By binding R functions and the 'Highcharts' <http://www.highcharts.com/> charting library, 'hpackedbubble' package provides a simple way to draw split packed bubble charts.
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2023-06-16 |
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r-homtest
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A collection of homogeneity tests described in: Viglione A., Laio F., Claps P. (2007) ``A comparison of homogeneity tests for regional frequency analysis'', Water Resources Research, 43, W03428, doi:10.1029/2006WR005095. More on Regional Frequency Analysis can be found in package nsRFA.
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2023-06-16 |
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r-homer
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A collection of functions useful for the analysis of building physics experiments.
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2023-06-16 |
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r-hive
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public |
Hadoop InteractiVE facilitates distributed computing via the MapReduce paradigm through R and Hadoop. An easy to use interface to Hadoop, the Hadoop Distributed File System (HDFS), and Hadoop Streaming is provided.
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2023-06-16 |
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r-histogram
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Automatic construction of regular and irregular histograms as described in Rozenholc/Mildenberger/Gather (2010).
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2023-06-16 |
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r-hiddenf
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Computes the ACMIF test and Bonferroni-adjusted p-value of interaction in two-factor studies. Produces corresponding interaction plot and analysis of variance tables and p-values from several other tests of non-additivity.
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2023-06-16 |
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r-hglm.data
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This data-only package was created for distributing data used in the examples of the 'hglm' package.
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2023-06-16 |
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r-gumbel
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Provides probability functions (cumulative distribution and density functions), simulation function (Gumbel copula multivariate simulation) and estimation functions (Maximum Likelihood Estimation, Inference For Margins, Moment Based Estimation and Canonical Maximum Likelihood).
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2023-06-16 |
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r-guerry
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This package comprises maps of France in 1830, multivariate data from A.-M. Guerry and others, and statistical and graphic methods related to Guerry's "Moral Statistics of France". The goal is to facilitate the exploration and development of statistical and graphic methods for multivariate data in a geo-spatial context of historical interest.
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2023-06-16 |
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r-gtcorr
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This package provides functions to calculate the efficiencies (expected tests per unit) of hierarchical and matrix group testing procedures. Efficiencies can be calculated in the presense of correlated responses under multiple arrangements of clustesrs. Efficiencies can also be evaluated in the presense of test error.
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2023-06-16 |
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r-gt4ireval
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Provides tools to measure the reliability of an Information Retrieval test collection. It allows users to estimate reliability using Generalizability Theory and map those estimates onto well-known indicators such as Kendall tau correlation or sensitivity.
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2023-06-16 |
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r-gstream
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Uses an approach based on k-nearest neighbor information to sequentially detect change-points. Offers analytic approximations for false discovery control given user-specified average run length. Can be applied to any type of data (high-dimensional, non-Euclidean, etc.) as long as a reasonable similarity measure is available. See references (1) Chen, H. (2019) Sequential change-point detection based on nearest neighbors. The Annals of Statistics, 47(3):1381-1407. (2) Chu, L. and Chen, H. (2018) Sequential change-point detection for high-dimensional and non-Euclidean data <arXiv:1810.05973>.
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2023-06-16 |
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r-googlevis
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R interface to Google's chart tools, allowing users to create interactive charts based on data frames. Charts are displayed locally via the R HTTP help server. A modern browser with an Internet connection is required and for some charts a Flash player. The data remains local and is not uploaded to Google.
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2023-06-16 |
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r-gofkernel
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Tests of goodness-of-fit based on a kernel smoothing of the data.
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2023-06-16 |
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r-gmapsdistance
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Get distance and travel time between two points from Google Maps. Four possible modes of transportation (bicycling, walking, driving and public transportation).
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2023-06-16 |
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r-glrth
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Likelihood ratio tests for genome-wide association and genome-wide linkage analysis under heterogeneity.
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2023-06-16 |
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r-glmnetcr
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Penalized methods are useful for fitting over-parameterized models. This package includes functions for restructuring an ordinal response dataset for fitting continuation ratio models for datasets where the number of covariates exceeds the sample size or when there is collinearity among the covariates. The glmnet fitting algorithm is used to fit the continuation ratio model after data restructuring.
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2023-06-16 |
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r-gibbsacov
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Gibbs sampler for one-way linear mixed-effects models (ANOVA, ANCOVA) with homoscedasticity of errors and uniform priors.
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2023-06-16 |
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r-gexp
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Generates experiments - simulating structured or experimental data as: completely randomized design, randomized block design, latin square design, factorial and split-plot experiments (Ferreira, 2008, ISBN:8587692526; Naes et al., 2007 <doi:10.1002/qre.841>; Rencher et al., 2007, ISBN:9780471754985; Montgomery, 2001, ISBN:0471316490).
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2023-06-16 |
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r-genmeta
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Generalized meta-analysis is a technique for estimating parameters associated with a multiple regression model through meta-analysis of studies which may have information only on partial sets of the regressors. It estimates the effects of each variable while fully adjusting for all other variables that are measured in at least one of the studies. Using algebraic relationships between regression parameters in different dimensions, a set of moment equations is specified for estimating the parameters of a maximal model through information available on sets of parameter estimates from a series of reduced models available from the different studies. The specification of the equations requires a reference dataset to estimate the joint distribution of the covariates. These equations are solved using the generalized method of moments approach, with the optimal weighting of the equations taking into account uncertainty associated with estimates of the parameters of the reduced models. The proposed framework is implemented using iterated reweighted least squares algorithm for fitting generalized linear regression models. For more details about the method, please see pre-print version of the manuscript on generalized meta-analysis by Prosenjit Kundu, Runlong Tang and Nilanjan Chatterjee (2018) <arXiv:1708.03818>.
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2023-06-16 |
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r-genemodel
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Using simple input, this package creates plots of gene models. Users can create plots of alternatively spliced gene variants and the positions of mutations and other gene features.
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2023-06-16 |
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r-lca
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Performs model fitting and significance estimation for Localised Co-Dependency between pairs of features of a numeric dataset.
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2023-06-16 |
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r-landest
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Provides functions to estimate survival and a treatment effect using a landmark estimation approach.
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2023-06-16 |
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r-labrs
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Dati, scripts e funzioni per il libro "Ricerca sociale con R. Concetti e funzioni base per la ricerca sociale" (Datasets, scripts and functions to support the book "Ricerca sociale con R. Concetti e funzioni base per la ricerca sociale").
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2023-06-16 |
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r-kuiper.2samp
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This function performs the two-sample Kuiper test to assess the anomaly of continuous, one-dimensional probability distributions. References used for this method are (1). Kuiper, N. H. (1960). <DOI:10.1016/S1385-7258(60)50006-0> and (2). Paltani, S. (2004). <DOI:10.1051/0004-6361:20034220>.
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2023-06-16 |
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r-kpart
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Cubic spline fitting along with knot selection, includes support for additional variables.
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2023-06-16 |
