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550 projects in result set. Displaying 20 per page. Projects sorted alphabetically by Project Name. <1> <2> <3> <4> <5> <6> <7> <8> <9> <10> <11> <12> <13> <14> <15> <16> <17> <18> <19> <20> <21> <22> <23> <24> <25> <26> <27> <28>
| 162. ggextra - This package provides functions and themes to complement the ggplot2 graphics package for R available on CRAN. | |
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| 163. glmmBUGS - This package simplifies running generalized linear mixed models in WinBUGS. It writes WinBUGS model files, formats data in ragged arrays, uses glmmPQL to get starting values, and creates a function for generating random starting values. | |
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| 164. globalboosttest - The package "globalboosttest" implements a permutation-based testing procedure to test the additional predictive value of high-dimensional data given that some predictors are already available. | |
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| 165. glpk - Low-level interface to the GNU Linear Programming Kit (GLPK). This interface mirrors the GLPK C API. | |
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| 166. GO-GARCH - GO-GARCH: Estimation and inference of Generalized Orthogonal GARCH models. | |
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| 167. GRASP - GRASP is a general method for making spatial predictions of response variables using point surveys of the response and spatial coverage of predictors. | |
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| 168. gridextra - This project provides a package with experimental implementation of miscellaneous Grid functions. | |
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| 169. gsDesign: Group Sequential Design - Generates group sequential designs using alpha- and beta-spending functions or Wang-Tsiatis (e.g., O'Brien-Fleming and Pocock) boundary families. Many plotting capabilities as well as non-binding futility rules are available. Easily extended. | |
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| 170. gstat - gstat is an R package for variogram modelling; simple, ordinary and universal point or block (co)kriging, sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions. | |
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| 171. Guerry: maps, data and methods - This project comprises maps of France in 1830, data from A.-M. Guerry and other and statistical and graphic methods related to Guerry's "Moral Statistics of France". | |
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| 172. GVAR - Global VAR Modeling - The aim of the GVAR package is to provide a comprehensive framework for unit root and cointegration analysis in multivariate time series data. | |
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| 173. HaarSeg - HaarSeg: Tiling Microarray Segmentation. Based on: Erez Ben-Yaacov and Yonina C. Eldar, "A Fast and Flexible Method for the Segmentation of aCGH Data", Bioinformatics, 2008. See www.ee.technion.ac.il/people/YoninaEldar/Info/software/HaarSeg.htm | |
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| 174. HAB bathymetry models - R implementation of the remote sensing based Hydraulically Assisted Bathymetry models (HAB) developed by Fonstad, M. & Marcus, W. (2005). Functions are provided for modelling with a range of custom variables. Summary functions are provided as well. | |
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| 175. Hadoop Streaming - Provides a framework for writing map/reduce scripts for use in Hadoop Streaming. Also facilitates operating on data in a streaming fashion, without Hadoop. | |
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| 176. Hedonic Elementary Price Indices - The hepi package provides a set of functions and classes for representing and estimating hedonic functions as well as hedonic elementary price indices. | |
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| 177. helloJavaWorld - Dummy package demonstrating how to interface to a jar file that resides inside an R package and how to integrate Java code in an R package more generally. | |
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| 178. heplots: Visualizing Multivariate Tests - Visualizing Tests in Multivariate Linear Models: The heplots package provides functions for representing sums-of-squares-and-products matrices for linear hypotheses and for error using ellipses (in two dimensions) and ellipsoids (in three dimensions). | |
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| 179. Hierarchical Generalized Linear Models - The aim of the project is to develop the hglm package which implements the estimation algorithm for hierarchical generalized linear models (HGLM) based on h-likelihood theory. | |
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550 projects in result set. Displaying 20 per page. Projects sorted alphabetically by Project Name. <1> <2> <3> <4> <5> <6> <7> <8> <9> <10> <11> <12> <13> <14> <15> <16> <17> <18> <19> <20> <21> <22> <23> <24> <25> <26> <27> <28>
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