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14 projects in result set.
0. lm.br - Exact significance tests for a changepoint in linear or multiple linear regression. Confidence intervals and confidence regions with exact coverage probabilities for the changepoint. |
- Development Status : 4 - Beta [Filter]
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- Topic : Econometrics : Structural Change [Filter]
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Registered: 2013-02-25 20:29 |
1. 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. |
- Development Status : 5 - Production/Stable [Filter]
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- Programming Language : R [Filter]
- Topic : Bioinformatics [Filter]
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Registered: 2009-08-22 09:52 |
2. 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. |
- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) [Filter]
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- Programming Language : Fortran [Filter]
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- Topic : Biostatistics & Medical Statistics [Filter]
- Topic : Graphics : Applications [Filter]
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Registered: 2010-11-22 19:09 |
3. 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. |
- Development Status : 6 - Mature [Filter]
- Environment : Console (Text Based) [Filter]
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- Programming Language : R [Filter]
- Topic : Design of Experiments & Analysis of Experimental Data [Filter]
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Registered: 2011-10-25 17:59 |
4. 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. |
- Development Status : 4 - Beta [Filter]
- Environment : Console (Text Based) [Filter]
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- Programming Language : R [Filter]
- Topic : Graphics : Plotting [Filter]
- Topic : Machine Learning : Model Selection and Validation [Filter]
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Registered: 2018-08-31 21:23 |
5. factorplot - factorplot provides numerical and graphical summaries of factor-level differences in GLMs. It produces all pairwise hypotheses tests with either the exact pairwise difference and variance or user-supplied quasi-variances or floating absolute risks. |
- Development Status : 4 - Beta [Filter]
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- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2011-05-30 16:43 |
6. BradleyTerry2 - BradleyTerry2 provides facilities to specify, fit and evaluate Bradley-Terry models for pairwise comparisons. Models may incorporate object-specific, subject-specific, or contest-specific variables, as well as random effects. |
- Development Status : 5 - Production/Stable [Filter]
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- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2010-04-28 10:52 |
7. lme4 - Mixed-effects models - An R package for fitting and analyzing linear, nonlinear and generalized linear mixed models. |
- Development Status : 4 - Beta [Filter]
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- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2007-08-17 17:27 |
8. 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. |
- Development Status : 5 - Production/Stable [Filter]
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- Topic : Machine Learning : Model Selection and Validation [Filter]
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Registered: 2016-03-07 02:31 |
9. Dave Armstrong's Misc Functions - Package contains functions to aid in the presentation and interpretation of GLMs and related models. These include utilities to help deal with present interactions in linear and logit/probit models, first differences in predicted probabilities, etc... |
- Development Status : 4 - Beta [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: 2012-05-07 16:37 |
10. 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). |
- Development Status : 5 - Production/Stable [Filter]
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- Topic : Multivariate Statistics [Filter]
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Registered: 2008-01-18 03:15 |
11. Linear quantile mixed models - This project is aimed at developing an R package to fit and analyse quantile regression models with random effects. |
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- Programming Language : R [Filter]
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- Topic : Robust Statistics [Filter]
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Registered: 2012-05-15 16:23 |
12. arm - R functions for processing lm, glm, mer and polr outputs. |
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- Programming Language : R [Filter]
- Topic : Bayesian Statistics [Filter]
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Registered: 2008-04-09 23:40 |
13. CorReg - find a structure explaining correlations between covariates and use it to compute linear regression. It provides an efficient new estimator for recursive SEM. |
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- Natural Language : French [Filter]
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- Topic : Econometrics : Linear Regression Models [Filter]
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Registered: 2013-11-14 14:32 |