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 Topic > Regression Models
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66 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. 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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- Development Status : 5 - Production/Stable [Filter]
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Activity Percentile: 70.00
Registered: 2016-09-21 08:36 |
1. DierckxSpline - This package contains wrappers for Dierckx FITPACK routines for splines. These include univariate smoothing and least-squares splines.
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- Development Status : 3 - Alpha [Filter]
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- Programming Language : Fortran [Filter]
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- Topic : Regression Models [Filter]
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Registered: 2007-09-07 17:22 |
2. 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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- Development Status : 4 - Beta [Filter]
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- Programming Language : Fortran [Filter]
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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 |
3. mmSAR - mmSAR was a R package for the modelling of the Species-Area Relationship (SAR). It is now deprecated and has been replaced by the "sars" R package, available at https://cran.r-project.org/web/packages/sars/index.html
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2009-08-25 12:11 |
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. cusp - Package for applying Cobb's maximum likelihood method to fitting cusp catastrophe models to data. The package was published in the Journal of Statistical Software [see www.jstatsoft.org/v32/i08/paper].
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- Topic : Econometrics : Structural Change [Filter]
- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
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Registered: 2014-10-29 16:43 |
6. 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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- Development Status : 4 - Beta [Filter]
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- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
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Registered: 2014-02-28 13:11 |
7. Bias reduction in GLMs - brglm provides brglm.fit which is an alternative method to glm.fit that works under the usual glm interface.
Estimation is either by correcting the bias of the maximum likelihood estimates or using an adjusted-score approach to improving bias.
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- Development Status : 3 - Alpha [Filter]
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- Topic : Social Sciences : Analysis of Categorical and Count Data [Filter]
- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2011-08-20 14:19 |
8. 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 |
9. Model-Free Psychometric Functions - Local linear estimation of psychometric functions. Provides functions for nonparametric estimation of a psychometric function and for estimation of a derived threshold and slope, and their standard deviations and confidence intervals.
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Registered: 2009-08-22 09:52 |
10. 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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- Development Status : 3 - Alpha [Filter]
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Registered: 2012-01-22 07:45 |
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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- Topic : Biostatistics & Medical Statistics [Filter]
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Registered: 2008-04-03 21:32 |
12. Dynamic Treatment Regimes - A package implementing several modern methods to estimate Dynamic Treatment Regimes: Q-Learning, Interactive Q-Learning, and two value-search methods each using Augmented Inverse Probability Weighted Estimators or Inverse Probability Weighted Estimators.
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Registered: 2015-01-20 22:09 |
13. Gauss-Seidel Estimation of GLMM - This project implements a block-wise Gauss-Seidel (GS) algorithm to fit Generalized Linear Mixed Models (GLMMs). The GS algorithm allows for a significant performance increase and memory saving.
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Registered: 2011-05-11 13:44 |
14. Instrument Limit of Detection Modeling - Limit of Detection (LOD) reflects an (medical diagnostic) instrument's level of sensitivity. We develop the LOD model selection and estimation tools with application to medical diagnostic instruments.
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- Topic : Bioinformatics : Medical Science [Filter]
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Registered: 2011-11-14 17:17 |
15. 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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- Topic : Software Development [Filter]
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Registered: 2008-09-30 11:39 |
16. 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 |
17. CatDyn Package for Catch Dynamics Models - Statistical models to assess fish stocks are becoming too demanding in terms of biological information. As an alternative to this trend we are developing the CatDyn project, an R package to assess fish stocks by modeling the operation of fishermen at sea.
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Registered: 2011-05-17 15:37 |
18. 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 |
19. DirichletReg - Dirichlet Regression - This project implements Dirichlet regression models for the analysis of compositional data. Starting with the basic fit routines, new functions (model selection, graphics, etc.) will be added and tested here, before being submitted to CRAN.
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Registered: 2010-09-26 14:19 |
66 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
<1>
