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102 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. Gauss-Seidel Estimation of GLMM - This project implements a block-wise Gauss-Seidel (GS) algorithm to fit Generalized Linear Mixed Models (GLMMs). The GS algorithm allows for a significant performance increase and memory saving.
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- Development Status : 3 - Alpha [Filter]
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- Topic : Regression Models [Filter]
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Registered: 2011-05-11 13:44 |
1. Clustering using convex fusion penalties - An R/C++ implementation of the clusterpath algorithm described in Hocking et al. 2011, for robust convex clustering using sparsity-inducing fusion penalties.
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- Development Status : 4 - Beta [Filter]
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- Programming Language : Python [Filter]
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- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
- Topic : Optimization [Filter]
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Registered: 2011-05-09 12:56 |
2. Breakpoint detection error - Functions for calculating the breakpoint detection error, which can be used for segmentation model selection.
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- Development Status : 5 - Production/Stable [Filter]
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Registered: 2012-11-27 16:51 |
3. RMVL - Mappable vector library provides convenient way to access large datasets on solid state drives. This bypasses limitation of physical memory size as well as limited bandwidth of database interfaces. Memory mapped data can be shared between multiple R processes. Access speed depends on storage medium, so solid state drive is recommended, preferably with PCI Express (or M.2 nvme) interface. The data is memory mapped into R and then accessed using usual R list and array subscription operators. The layout of underlying MVL files is optimized for large datasets. The vectors are stored to guarantee alignment for vector intrinsics after memory map. The package is built on top of libMVL, which can be used as standalone C library. libMVL has simple C API making it easy to interchange of datasets with outside programs.
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- Topic : Database [Filter]
- Topic : High Performance Computing : Large Memory [Filter]
- Topic : High Performance Computing : Parallel Computing [Filter]
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Registered: 2021-08-19 02:16 |
4. analogue - quantitative palaeoecology - analogue fits Modern Analogue Technique (MAT) and Weighted Averaging (WA) transfer function models for prediction of environmental data from species data.
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- Topic : Environmetrics [Filter]
- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
- Topic : Time Series [Filter]
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Registered: 2007-09-07 13:38 |
5. Rmpfr: Multiple Precision Floatingpoint - Multiple precision numbers & computations for R via GNU MPFR http://www.mpfr.org
S4 classes and methods, e.g., for 2-argument dispatch in arithmetic.
Considering interface to GMP-based R packages using MP integer or rational arithmetic.
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- Topic : Numerical Analysis : Numerical Approximation and Computational Geometry [Filter]
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Registered: 2009-03-19 07:42 |
6. spatial copula - This package has moved to: https://github.com/bengraeler/spcopula
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- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
- Topic : Multivariate Statistics : Multivariate Distributions : Copulae [Filter]
- Topic : Spatial Data & Statistics : Geostatistics [Filter]
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Registered: 2011-03-21 17:39 |
7. partykit: Recursive Partytioning Toolkit - Infrastructure for representing, summarizing, and visualizing tree-structured models. It can be used for constructing or reading tree models from different sources (rpart, RWeka, PMML), sharing
functionality for print/plot/predict methods.
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- Topic : Machine Learning : Recursive Partitioning [Filter]
- Topic : Regression Models [Filter]
- Topic : Software Development [Filter]
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Registered: 2008-09-30 11:39 |
8. SegAnnot - SegAnnot calculates the least squares segmentation for piecewise constant annotated noisy signals.
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- Topic : Optimization : Mathematical Programming : Global Optimization [Filter]
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Registered: 2012-11-27 16:58 |
9. Gradient forest - Detecting biological composition patterns along environmental gradients from site-by-species ecological data. Package gradientForest calculates the gradients from split-point importances provided by auxiliary package extendedForest, based on randomForest.
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2011-01-06 08:05 |
10. vegan - Community Ecology Package - 'vegan' is a CRAN package for the analysis of ecological communities. It has tools for analysing ecological diversity, and for the multivariate analysis of communities (NMDS, pCCA, pRDA etc.) - Development on R-Forge discontinued, go to https://github.com/vegandevs/
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- Topic : Environmetrics [Filter]
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2007-09-05 13:59 |
11. R package for spatial data classes - An R-package for dealing with spatial data in R; the sp package provide classes and methods for spatial data (points, lines, polygons, grids). Other r-spatial packages hosted here are classInt, splancs, spgrass6, spgwr and DCluster.
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- Topic : Spatial Data & Statistics : Classes for Spatial Data [Filter]
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Registered: 2011-02-18 20:53 |
12. Models for Data from Unmarked Animals - This is a stub. Development now continues at http://github.com/ianfiske/unmarked.
unmarked analyzes wildlife data arising from many popular wildlife sampling techniques using 2-stage hierarchical models.
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Registered: 2007-07-25 14:05 |
13. memisc
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Registered: 2013-02-08 10:55 |
14. QuantLab - The package QuantLab contains a collection of R-commands, which support computer experiments in the fields of probability, stochastic processes, stochastic analysis and mathematical finance.
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- Topic : Finance : Derivatives [Filter]
- Topic : Optimization : Mathematical Programming : Stochastic Programming [Filter]
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Registered: 2009-03-03 13:13 |
15. CellMix - Resources for performing gene expression deconvolution in R, i.e. estimating cell proportions and/or cell-specific gene expression from global gene expression measured in heterogeneous samples.
Currently hosted packages: csSAM and CellMix packages.
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Registered: 2013-04-11 08:27 |
16. Bayesian Fractional Polynomials - The package implements the Bayesian paradigm for fractional polynomial models under the assumption of normally distributed error terms.
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- Topic : Bayesian Statistics : Specific Model Fitting [Filter]
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Registered: 2009-09-23 10:25 |
17. pcurve: principal curves - Package pcurve fits principal curves in high dimensions. It can be thought of as a non-linear form of PCA. pcurve is an R port of Glenn De'aths pcurve library for S-Plus.
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Registered: 2013-05-30 16:42 |
18. R interface to GDAL, OGR and PROJ.4 - Provides bindings to Frank Warmerdam's Geospatial Data Abstraction Library (GDAL) (>= 1.11.4) and access to projection/transformation operations from the PROJ.4 library. (Migrated from Sourceforge repository)
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- Topic : Spatial Data & Statistics : Reading and Writing Spatial Data [Filter]
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Registered: 2010-09-12 11:09 |
19. Mass at Chance models - The package provides an R implementation of Mass at Chance models (Rouder, Morey, Speckman, and Pratte,2007; Morey, Rouder, Speckman, 2008, 2009) for the analysis of subliminal priming data.
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- Topic : Bayesian Statistics : Specific Model Fitting [Filter]
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Registered: 2010-09-07 12:17 |
102 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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