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70 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. ctm - Maximum likelihood and boosting estimators for conditional transformation models.
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- Development Status : 5 - Production/Stable [Filter]
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Activity Percentile: 70.00
Registered: 2012-01-12 14:03 |
1. betareg: Beta Regression - Beta regression for modeling beta-distributed dependent variables, e.g., rates and proportions. Maximum likelihood regression, finite mixture models, and recursive partitioning for beta regressions are provided.
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Activity Percentile: 40.00
Registered: 2011-09-23 08:18 |
2. topmodels: Extended Model Infrastructure - topmodels: Infrastructure for Forecasting and Assessment of Probabilistic Models
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- Development Status : 3 - Alpha [Filter]
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Activity Percentile: 20.00
Registered: 2018-02-01 16:08 |
3. robustbase - Basic Robust Statistics - R package for "Essential" Robust Statistics: Tools for data analysis with robust methods; incl. regression & multivariate stats; targeting to cover "Robust Statistics, Theory and Methods" by Maronna, Martin and Yohai; 2006.
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- Natural Language : German [Filter]
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Activity Percentile: 0.00
Registered: 2007-08-17 15:17 |
4. immunoassay - The purpose of this project is to allow fine-tuning of sigmoidal models beyond the limits of instrument software; and to provide functions for batch processing of output files and creation of reports with nice graphics.
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Activity Percentile: 0.00
Registered: 2011-03-17 12:58 |
5. Spike Train Analysis with R - STAR (Spike Train Analysis with R) is an R package to analyze spike trains. It provides tools to visualize spike trains and fit, test and compare models of discharge applied to actual data.
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Registered: 2007-11-26 10:11 |
6. DierckxSpline - This package contains wrappers for Dierckx FITPACK routines for splines. These include univariate smoothing and least-squares splines.
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Registered: 2007-09-07 17:22 |
7. Classification and Regression Training - The caret packages contain functions for tuning predictive models, pre-processing, variable importance and other tools related to machine learning and pattern recognition. Parallel processing versions of the main package are also included.
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Registered: 2008-06-05 19:31 |
8. Forecasting with Artificial Intelligence - The package ForAI uses machine learning methods such as artificial neural networks, support vector regression, extreme learning machines, and evolutionary algorithms for forecasting and prediction.
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Activity Percentile: 0.00
Registered: 2012-01-22 07:45 |
9. Models for Data from Unmarked Animals - This is a stub. Development now continues at http://github.com/ianfiske/unmarked.
unmarked analyzes wildlife data arising from many popular wildlife sampling techniques using 2-stage hierarchical models.
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2007-07-25 14:05 |
10. 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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Activity Percentile: 0.00
Registered: 2008-09-30 11:39 |
11. multcomp: Simultaneous Inference - Simultaneous Inference in General Parametric Models - Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models.
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Registered: 2008-04-03 21:32 |
12. lethal - Compute lethal doses for count data based on generalized additive models (GAMs) together with parametric bootstrap confidence intervals for the lethal dose.
For a current development version see https://github.com/hofnerb/lethal
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Registered: 2014-02-28 13:11 |
13. sandwich: Robust Covariance Estimation - An object-oriented implementation of model-robust covariances and standard error estimators for cross-sectional, time series, and longitudinal data.
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Activity Percentile: 0.00
Registered: 2016-09-21 08:36 |
14. arm - R functions for processing lm, glm, mer and polr outputs.
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Activity Percentile: 0.00
Registered: 2008-04-09 23:40 |
15. 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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Activity Percentile: 0.00
Registered: 2008-01-08 16:50 |
16. The Degrees of Freedom of PLS - The package provides Degrees of Freedom of Partial Least Squares. Model selection based on information criteria can be performed.
Krämer & Braun (2007) Kernelizing PLS, Degrees of Freedom, and Efficient Model Selection, ICML-07, 441 - 448
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Registered: 2009-10-08 14:16 |
17. Probabilistic Index Models - Developing an R-package for a new class of regression models: Probabilistic Index Models.
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Registered: 2011-06-09 14:01 |
18. sfadv - Advanced Methods for Stochastic Frontier Analyses
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Registered: 2017-06-13 10:58 |
19. therese - The purpose of this package is to propose a method for inferring networks from expression data obtained in various experimental condition. The "cLasso" (consensus Lasso) method is implemented.
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Registered: 2013-07-05 08:44 |
70 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
<1>
