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58 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. CorReg - find a structure explaining correlations between covariates and use it to compute linear regression. It provides an efficient new estimator for recursive SEM.

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Registered: 2013-11-14 14:32

1. Regression Models for Ordinal Data - This project hosts the R-package 'ordinal'. The ordinal R-package implements likelihood based models for ordinal (ordered categorical) data based on cumulative probabilities in the framework of cumulative link (mixed) models.

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Registered: 2010-06-12 18:24

2. memisc

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Registered: 2013-02-08 10:55

3. lme4 - Mixed-effects models - An R package for fitting and analyzing linear, nonlinear and generalized linear mixed models.

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Registered: 2007-08-17 17:27

4. pfda: Functional Principal Components - The PFDA package for R performs functional principal component analysis with B-splines for univariate and bivariate responses. Also handled are binary responses and an additive model for extra variables.

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Registered: 2010-01-12 21:52

5. Conditional Random Fields - This project provides a set of tools for conditional random fields tasks such as decoding/inference/sampling/training.

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Registered: 2010-12-28 07:13

6. Muste - the R implementation of Survo - Muste - Multiplatform Survo Type Editorial Environment for Data Analysis

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Registered: 2011-06-27 14:20

7. Rcplex - Interface to the CPLEX optimization engine. Supports Linux and Windows.

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Registered: 2008-08-04 05:27

8. Profile Dirichlet Process Mixtures - This package facilitates profile inference for a class of product partition models (PPM). The Dirichlet process mixture is a specific case in this class. These methods search for the maximum posterior (MAP) estimate for the cluster partition in the PPM.

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Registered: 2009-04-24 15:56

9. move: analyze animal movement data - move is a package that contains functions to access movement data stored in movebank.org as well as tools to visualize and statistically analyse animal movement data. Move addresses movement ecological questions.

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Registered: 2012-03-28 07:52

10. grainscape - Create grains of connectivity and minimum planar graph models to calculate effective distances for landscape connectivity at multiple scales. **Development of this package has moved to GitHub (https://achubaty.github.io/grainscape).**

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Registered: 2012-03-07 12:18

11. Corbi - A collection of bioinformatics tools for general purposes such as network query, protein structure alignment, gene expression analysis.

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Registered: 2011-09-26 05:04

12. splinesurv - A package containing utilities for nonparametric Bayesian analysis of clustered survival data. The baseline hazard function and frailty density are modeled using penalized B-splines. Regression and spline parameters are estimated via MCMC.

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Registered: 2008-01-08 16:50

13. 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

14. TopKLists - The package includes tools for inference, aggregation, and visualization of multiple ranked lists. Consolidated information from two or more such lists comprising the same set of objects can be obtained. Incomplete rankings and partial lists are allowed.

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Registered: 2010-05-06 10:59

15. spatial copula - This package has moved to: https://github.com/bengraeler/spcopula

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Registered: 2011-03-21 17:39

16. 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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Registered: 2007-09-07 13:38

17. 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

18. casper - casper infers alternative splicing from high-throughput sequencing data both for known variants and de novo discovery. We use a Bayesian model with few assumptions, and modern model selection ideas with improved theoretical and computational properties.

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Registered: 2011-10-11 08:51

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

58 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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