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266 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. fuzzySim - fuzzySim is an R package for calculating fuzzy similarity in species occurrence patterns.
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Activity Percentile: 57.14
Registered: 2014-02-27 18:53 |
1. lm.br - Exact significance tests for a changepoint in linear or multiple linear regression. Confidence intervals and confidence regions with exact coverage probabilities for the changepoint.
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Registered: 2013-02-25 20:29 |
2. Sparse LDA - This package implements elasticnet-like sparseness in linear and mixture discriminant analysis as described in "Sparse Discriminant Analysis" by Line Clemmensen, Trevor Hastie and Bjarne Ersb
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- Topic : Multivariate Statistics : Supervised Classification and Discriminant Analysis [Filter]
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Registered: 2009-01-22 16:44 |
3. Analysis of multi-electrode array data - Functions for the analysis of spike-trains recorded using multi-electrode arrays. Tools include simple visualisation, movie generation, burst analysis, network spikes and episode detection.
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Registered: 2012-04-07 09:14 |
4. Plant modelling with Yplant - QuasiMC - <<<< This is an old repository and is no longer used. The new home for YplantQMC is www.bitbucket.org/remkoduursma/yplantqmc >>>>
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Registered: 2012-06-04 23:07 |
5. Mixture Distributions - Provides the r,p,d,q functions for mixtures of standard R distributions
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Registered: 2013-03-13 14:58 |
6. a logging package - the logging package is a port of the ubiquitous log4j.
it implements hierarchical logging, multiple handlers at a single logger, formattable log records...
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Registered: 2010-01-22 15:47 |
7. sampleSelection: Limited Dependent Vari. - Packages for limited dependent variables: censored regression (Tobit) models (pkg censReg), interval regression models (pkg intReg), multivariate probit models (pkg mvProbit), and sample selection (Heckman) models (pkg sampleSelection)
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Registered: 2008-09-19 09:08 |
8. Nonparametrics for Clustered Binary Data - CorrBin implements nonparametric methods for analysing exchangeable binary and multinomial data with variable cluster sizes with emphasis on trend testing.
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Registered: 2008-10-02 19:05 |
9. Bayesian Biclustering - This package uses a Bayesian spike-and-slab model to construct bidendrograms using log posterior as the natural distance defined by the model and calculates importance using log Bayes factor.
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Registered: 2010-04-01 17:54 |
10. 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 |
11. to_be_removed - --
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Registered: 2010-08-09 10:48 |
12. ESM - ESM – Ecological Measures of Specificity . Provides several ecological specificity / host range indicators
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Registered: 2009-11-07 16:56 |
13. EnQuireR - EnQuireR focuses on categorical variables and allows to automate the survey process. It includes univariate and multivariate data analyses and offers an easier view of the results by the automatic generation of a report and of a presentation via Sweave.
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Registered: 2009-06-10 15:09 |
14. PDF2 - Improved PDF device, which can embed popup strings and url links.
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Registered: 2008-05-24 17:19 |
15. Functional - Curry, Compose, and other higher-order functions.
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Registered: 2010-02-19 15:44 |
16. gamboostLSS - gamboostLSS: Boosting Methods for GAMLSS Models
For an up to date version see https://github.com/boost-R/gamboostLSS
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Registered: 2010-06-29 15:27 |
17. Open Perimeter Interface (OPI) - The OPI is a standard for interfacing with visual field testing machines (perimeters). There are implementations for the Octopus 900, Heidelberg Edge Perimeter, and simulators for white-on-white perimetry.
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Registered: 2011-10-14 00:28 |
18. Multiple Cue Probability Learning - mcplR offers a flexible (S4) framework to investigate multiple cue probability learning (MCPL). mcplR incorporates a number of learning models (Rescorla-Wagner, GCM, ALCOVE, etc) in a general state-space framework, where new models can be easily added.
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Registered: 2007-09-07 14:37 |
19. Markov decision processes (MDPs) in R - Create and optimize MDPs with discrete time steps and state space. Both normal MDPs and hierarchical MDPs can be considered.
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Registered: 2009-06-08 12:06 |
266 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
<1>
