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38 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. QSAR Data Sets - Molecular descriptors and outcomes for several public domain data sets
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Registered: 2010-09-19 03:40 |
1. 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 |
2. simsalabim - This package currently implements Singular System/Spectrum Analysis (SSA) and Phase Synchronisation Indices.
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- Topic : Econometrics : Time Series Modelling [Filter]
- Topic : Finance : Time Series [Filter]
- Topic : Time Series [Filter]
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Registered: 2008-10-03 08:07 |
3. Direct labels for plots - Simple, uniform framework for adding direct labels to lattice or ggplot2 plots.
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- Topic : Graphics : Colors [Filter]
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Registered: 2009-07-17 12:58 |
4. Isopam - The 'isopam' package was originally developed for the classification of plant and animal assemblages. It includes the isopam cluster algorithm and related functions.
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- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Cluster Analysis : Partitioning Clustering [Filter]
- Topic : Multivariate Statistics : Unsupervised Classification : Cluster Analysis [Filter]
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Registered: 2010-11-30 10:37 |
5. 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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Registered: 2009-05-08 10:01 |
6. 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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- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
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Registered: 2011-05-09 12:56 |
7. Analysis of Count Time Series - R package which provides likelihood-based methods for model fitting and assessment, prediction and intervention analysis of count time series following generalized linear models.
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- Topic : Econometrics : Structural Change [Filter]
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Registered: 2013-04-04 13:48 |
8. frontier: Stochastic Frontier Analysis - Maximum Likelihood Estimation of Stochastic Frontier Production and Cost Functions. Two specifications are available: the error components model (Battese and Coelli, 1992) and the efficiency effects model (Battese and Coelli, 1995).
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- Topic : Econometrics : Further Regression Models [Filter]
- Topic : Econometrics : Microeconometrics [Filter]
- Topic : Regression Models [Filter]
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Registered: 2008-10-19 20:27 |
9. micEcon: Microeconomic Analysis - Tools for microeconomic analysis and microeconomic modelling
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Registered: 2008-09-19 09:13 |
10. 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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- Topic : Econometrics : Microeconometrics [Filter]
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- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2008-09-19 09:08 |
11. 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]
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Registered: 2008-09-30 11:39 |
12. DICOM: Import DICOM data via R - The DICOM package is a small collection of R functions to import binary data files (e.g., MRI, CT, PET, etc.) that conform to the DICOM Data Standard.
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Registered: 2009-05-29 21:29 |
13. blupsurv - Tools for fitting proportional hazards models to clustered
recurrent events data. Nested frailties are modeled by their
best linear unbiased predictors under an auxiliary Poisson model.
Univariate and bivariate recurrent events processes are permitted.
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- Topic : Biostatistics & Medical Statistics [Filter]
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Registered: 2008-06-14 13:52 |
14. Probability - This package is for performing elementary probability on finite sample spaces, represented by data frames or lists. Functionality includes setting up sample spaces, set algebra, probability and conditional probability, characteristic functions, and more.
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Registered: 2008-01-09 17:16 |
15. 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 |
16. 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 |
17. 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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- Topic : Bayesian Statistics [Filter]
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Registered: 2011-10-11 08:51 |
18. Statistical analysis of DNA mixtures - Statistical analysis of mixed traces of DNA with artefacts. Features include parameter-fitting, visual diagnostics, evaluation of the likelihood, and genotype prediction. Full functionality requires a licenced copy of Hugin (www.hugin.com).
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Registered: 2013-07-07 18:26 |
19. phylobase - Defining the basic S4 classes and methods for representing and manipulating phylogenetic trees and data in R.
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Registered: 2007-12-14 19:17 |
38 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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