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17 projects in result set.
0. CulturalAnalytics - Code for statistical analysis and plotting of image properties for use in the Digital Humanities.
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Registered: 2011-10-29 20:57 |
1. MPTinR - MPTinR provides a user-friendly way to fit Multinomial Processing Tree (MPT) and other cognitive models for categorical data. For any MPT model the FIA, a minimum description length based measure of model complexity, can be calculated for model selection.
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Registered: 2011-06-06 17:09 |
2. Activated Region Fitting - Activated Region Fitting (ARF) is a program for functional Magnetic Resonance Imaging (fMRI) data analysis. ARF uses Gaussian shape spatial models to parameterize active brain regions.
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Registered: 2008-09-18 11:23 |
3. logitnorm - Density, distribution, quantile and random generation function for the logitnormal distribution. Estimation of the mode and the first two moments. Estimation of distribution parameters. - Moved to https://github.com/bgctw/logitnorm
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Registered: 2010-09-15 16:07 |
4. abind: Create multi-dimensional arrays - The abind package supports the use of multi-dimensional arrays. The function abind() is a multidimensional analog of rbind() and cbind(). adrop() and asub() allow arguments to specify dimensions to drop or subset.
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Registered: 2010-04-19 15:09 |
5. ExLiebeRes - Calculate exact Lieberman-Resnikoff and Bruh-Suhr/Krumbholz sampling plans.
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Registered: 2012-09-14 11:16 |
6. Orthogonal Spline Basis - Orthogonal Spline Basis provides allows computing and fitting splines and penalized splines using orthogonalized bases. It also provides easy functions for exact computation of integrals and derivatives.
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Registered: 2010-01-29 19:10 |
7. UMPIRE - UMPIRE provides tools to simulate realistic biological expression data. It includes additive and multiplicative noise, correlated expression, inactive genes, and a link to outcome data that incorporates the multi-hit cancer model.
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Registered: 2014-02-03 16:37 |
8. Circular Statistics - This is the circular package build over the R port of the CircStats package by Ulric Lund from 'Topics in circular Statistics' (2001) S. Rao Jammalamadaka and A. SenGupta, World Scientific.
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Registered: 2007-11-06 22:41 |
9. Reliability - The project focuses on an Relibility package for GNU R, which allows to estimate software reliability metrics like failure rate or hazard rate.
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Registered: 2007-10-15 15:55 |
10. Modelling Peaks Over Threshold - The project consists in developing functions for peaks over threshold modeling. Most of results come from the extreme value theory (EVT). The EVT is currently extensively used, mostly in environmental sciences and finance.
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Registered: 2007-09-21 14:29 |
11. fortunes: R Fortunes - R Fortunes
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Registered: 2007-06-08 16:41 |
12. ctv: CRAN Task Views - Server-side and client-side tools for task views to CRAN-style repositories.
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Registered: 2007-06-08 16:40 |
13. SpatialExtremes - The SpatialExtremes package aims to develop tools for the modeling of spatial extremes. The knowledge of the univariate/multivariate distribution of extremes is not enough. This package will try to fill this gap.
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- Topic : Multivariate Statistics : Latent Variable Approaches [Filter]
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Registered: 2008-10-04 11:03 |
14. lpSolveAPI - An R interface for lp_solve, a Mixed Integer Linear Programming (MILP) solver with support for pure linear, (mixed) integer/binary, semi-continuous and special ordered sets (SOS) models.
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Registered: 2008-02-08 10:47 |
15. ZooImage - ZooImage is a software (based on R and ImageJ) to analyze plankton samples, using image analysis and machine learning techniques. This is the old repository, please, look at https://github.com/SciViews/zooimage for latest version!
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Registered: 2009-02-18 14:57 |
16. ADEA - Data Envelopment Analysis (DEA) seeks to compare the relative efficiency of a group's decision units (DMU).
This package provides additional features to support variable selection, restricted DEA models, and leverage analysis.
The selection of variables in DEA is a cornerstone, because efficiency results hardly depend on that selection. A measured, called load, allows handling that selection. In the package to do it two step-by-step functions are provided.
Sometimes the reasons for external analysis require that the contributions of variables to the DEA be restricted in a range. Another function is also provided for this purpose.
Another feature provided allows us to find which DMUs cause the most significant changes in the results so that we can handle them properly.
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Registered: 2021-08-04 10:52 |
