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 Topic > Regression Models
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69 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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- Topic : Machine Learning : Boosting [Filter]
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Activity Percentile: 11.11
Registered: 2012-01-12 14:03 |
1. 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 |
2. sensR: sensory discrimination analysis - The sensR package provides methods for (replicated) sensory discrimination methods; duotrio, triangle, 2-AFC, 3-AFC, A-not A, same-different and 2-AC. A number of models and utility methods are implemented.
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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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Activity Percentile: 0.00
Registered: 2010-11-17 15:01 |
3. 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 |
4. glmx: Generalized Linear Models Extended - Extensions for generalized linear models (GLMs), especially for binary responses, allowing for parametric links or heterogeneity in the latent variables.
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- Topic : Econometrics : Microeconometrics [Filter]
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Activity Percentile: 0.00
Registered: 2011-04-12 13:09 |
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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Registered: 2014-10-29 16:43 |
6. gbm - Generalized Boosted Models. Adding additional functionality to the gbm package, including additional robust regression methods, a new binomial classification method, and multinomial classification.
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- Topic : Machine Learning : Boosting [Filter]
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Registered: 2009-06-02 16:27 |
7. 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 |
8. Practical Data Analysis - Support routines and data accompanying Brian Yandell's "Practical Data Analysis for Designed Experiments" (www.stat.wisc.edu/~yandell/pda) book organized as an R package.
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Registered: 2007-07-08 20:21 |
9. R functions for functional data analysis - The ‘fda’ package includes functions and data sets for functional data analysis as described in Ramsay, J. O. and Silverman, B. W. (2005) Functional Data Analysis (Springer) and (2002), Applied Functional Data Analysis (Springer).
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- Topic : Multivariate Statistics [Filter]
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Activity Percentile: 0.00
Registered: 2008-01-18 03:15 |
10. Regression with Functional Data - Methodology for regression with functional data, including a variety of approaches to (i) regressing scalar responses on functional predictors and (ii) regression with functional responses.
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Activity Percentile: 0.00
Registered: 2012-08-05 16:54 |
11. art: Applied Regression Tools - Tools for working with various types of regression tools,
including diagnostic graphics, inference and model comparison.
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Activity Percentile: 0.00
Registered: 2007-01-31 15:08 |
12. calibFit - This package provides curve fitting, visualization, and calibration methods for the development, validation, and use of biological and chemical assays. The functionality includes heteroscedasticity, model selection, and measures of assay quality.
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Activity Percentile: 0.00
Registered: 2011-10-25 17:59 |
13. 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 |
14. Regression Modeling Strategies - Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of 229 functions that assist with and streamline modeling.
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- Programming Language : Fortran [Filter]
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Activity Percentile: 0.00
Registered: 2010-11-22 19:09 |
15. Diagnostic and prognostic meta-analysis - This package provides functions for diagnostic and prognostic meta-analyses. It estimates univariate, bivariate and multivariate models, and allows the aggregation of previously published prediction models with new data.
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Registered: 2012-08-09 13:01 |
16. 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 |
17. 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 |
18. R package nlstools - The R package nlstools: a toolbox for nonlinear regression diagnostics
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Registered: 2009-02-24 11:54 |
19. 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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- Topic : Machine Learning : Model Selection and Validation [Filter]
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Registered: 2016-03-07 02:31 |
69 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
<1>
