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16 projects in result set.
0. Bayesian Estimation and Model Checking - This package mainly deals with generalized linear spatial models in Bayesian way for estimation, prediction and model checking. |
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Registered: 2011-08-18 03:20 |
1. Benchmarking genomic data integration - Comparison pipeline for multi-platform data integration algorithms for functional genomics studies. Provides tools to compare performance between publicly available implementations |
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Registered: 2011-02-02 00:51 |
2. shp2graph - This project provides functions to convert a "spatial" object of a road network to a "graph-class" or "igraph-class" object, which makes "igraph", "graph" and "RBGL" available for analysing it. |
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- Topic : Spatial Data & Statistics : Classes for Spatial Data [Filter]
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Registered: 2011-01-12 17:41 |
3. 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 |
4. R2jags - A package for running jags from R |
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- Topic : Bayesian Statistics : General Model Fitting [Filter]
- Topic : Bayesian Statistics : Post Estimation Tools [Filter]
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Registered: 2008-05-10 19:19 |
5. 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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- Topic : Cluster Analysis [Filter]
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Registered: 2009-06-10 15:09 |
6. arm - R functions for processing lm, glm, mer and polr outputs. |
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Registered: 2008-04-09 23:40 |
7. Species Distribution Modelling - sdm is an extendable framework to develop species distributions models using individual and community-based approaches, generate ensembles of models, evaluate the models, and predict species potential distributions in space and time. |
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2014-05-26 16:09 |
8. candlesticks - candlesticks: filter Japanese Candlestick Patterns like Doji, Engulfing, Harami, etc. out of OHLC price data. |
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Registered: 2012-01-06 14:40 |
9. 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 |
10. NDVI Time Series extraction and analysis - The routines extract automatically NDVI time series from different satellites (AVHRR, Spot Vegetation, MODIS) and provide tools to display and analyze them. Phenological metrics can be computed for every season as well as vegetation anomaly maps. |
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Registered: 2011-06-23 07:05 |
11. 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 |
12. missMDA - Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA) or a multiple correspondence analysis (MCA) model; Perform multiple imputation with and in PCA |
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- Topic : Multivariate Statistics : Missing Data [Filter]
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Registered: 2010-07-28 13:20 |
13. 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 |
14. Testing HWE for Multiallelic Genes - This package calculates plain and fully conditional P-values for the root-mean-square statistic, chi-square statistic, and log likelihood-ratio statistic for the user-provided genotype counts to be consistent with the Hardy-Weinberg equilibrium model. |
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Registered: 2012-07-03 03:50 |
15. radarBoxplot - A package to create the radar-boxplot, a plot that was created by the during his doctoring in forest resources. Radar-boxplot is a visualization feature suited for classification/clustering. It provides an intuitive understanding of the data. |
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Registered: 2019-06-18 15:31 |