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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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Activity Percentile: 71.43
Registered: 2012-01-12 14:03 |
1. BayesR: Bayesian Regression - Developement of R Functions to Estimate Complex Bayesian Regression Models.
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Activity Percentile: 50.00
Registered: 2010-08-20 11:45 |
2. 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 |
3. arm - R functions for processing lm, glm, mer and polr outputs.
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Registered: 2008-04-09 23:40 |
4. 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 |
5. 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 |
6. 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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Registered: 2008-06-14 13:52 |
7. Tools for Uplift Modeling - The R Package tools4uplift integrates some tools for exploring and modeling uplift. The content can be separated into the following steps of statistical modeling: quantization, visualization, model selection and model validation.
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Registered: 2018-08-31 21:23 |
8. caper - Comparative Analysis package - The Comparative Analyses of Phylogenetics and Evolution in R (caper) package implements a range of methods for the comparative analysis of taxa including methods based on phylogenetic independent contrasts and phylogenetically corrected linear models.
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- Topic : Genetics : Phylogenetics [Filter]
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Registered: 2011-01-14 11:43 |
9. topmodels: Extended Model Infrastructure - topmodels: Infrastructure for Forecasting and Assessment of Probabilistic Models
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Registered: 2018-02-01 16:08 |
10. sfadv - Advanced Methods for Stochastic Frontier Analyses
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- Topic : Econometrics : Further Regression Models [Filter]
- Topic : Econometrics : Microeconometrics [Filter]
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Registered: 2017-06-13 10:58 |
11. 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 |
12. 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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Registered: 2016-09-21 08:36 |
13. Finite Mixure of AFT and FMR models - FMRS package provides estimation and variable selection in Finite Mixture of Accelerated Failure Time Regression (FMAFTR) and Finite Mixture of Regression (FMR) models with a large number of covariates and/or right censoring and heterogeneous structure.
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Registered: 2016-03-07 02:31 |
14. 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]
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Registered: 2014-10-29 16:43 |
15. 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 |
16. 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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Registered: 2012-01-22 07:45 |
17. R package nlstools - The R package nlstools: a toolbox for nonlinear regression diagnostics
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Registered: 2009-02-24 11:54 |
18. 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 |
19. MethComp - Functions for analysis of method comparison studies.
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Registered: 2009-02-19 23:41 |
70 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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