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13 projects in result set.

0. topmodels: Extended Model Infrastructure - topmodels: Infrastructure for Forecasting and Assessment of Probabilistic Models

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Registered: 2018-02-01 16:08

1. 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.
Development Status : 3 - Alpha (Now Filtering) Intended Audience : End Users/Desktop (Now Filtering) License : OSI Approved : GNU General Public License (GPL) [Filter] Natural Language : English [Filter] Operating System : OS Independent [Filter] Programming Language : R (Now Filtering) Topic : Bioinformatics : Statistics [Filter] Topic : Regression Models (Now Filtering)	Activity Percentile: 0.00 Registered: 2013-07-05 08:44

2. medrc - The package medrc provides model averaged benchmark dose response estimates (BMD) and corresponding confidence intervals (BMDL) for fixed effects in mixed nonlinear dose-response models.
Development Status : 3 - Alpha (Now Filtering) Intended Audience : End Users/Desktop (Now Filtering) License : OSI Approved : GNU General Public License (GPL) [Filter] Programming Language : R (Now Filtering) Topic : Regression Models (Now Filtering)	Activity Percentile: 0.00 Registered: 2011-12-20 08:57

3. DierckxSpline - This package contains wrappers for Dierckx FITPACK routines for splines. These include univariate smoothing and least-squares splines.

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Programming Language : Fortran [Filter]
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Registered: 2007-09-07 17:22

4. 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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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

5. Multilevel frailty models - Semiparametric proportional hazard models with K random effects, estimated via the EM-PL algorithm (Horny, 2009)

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Registered: 2012-04-30 07:14

6. mvinfluence: multivariate influence - This package computes regression deletion diagnostics for multivariate linear models and provides some associated diagnostic plots.

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Topic : Multivariate Statistics : Linear Models [Filter]
Topic : Multivariate Statistics : Visualising Multivariate Data [Filter]
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Registered: 2012-04-19 12:23

7. 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

8. BayesR: Bayesian Regression - Developement of R Functions to Estimate Complex Bayesian Regression Models.

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Topic : Bayesian Statistics : General Model Fitting [Filter]
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Registered: 2010-08-20 11:45

9. 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.
Development Status : 3 - Alpha (Now Filtering) Intended Audience : End Users/Desktop (Now Filtering) License : OSI Approved : GNU General Public License (GPL) [Filter] Natural Language : English [Filter] Operating System : OS Independent [Filter] Programming Language : C/C\+\+ [Filter] Programming Language : R (Now Filtering) Topic : Regression Models (Now Filtering)	Activity Percentile: 0.00 Registered: 2011-05-11 13:44

10. 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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Registered: 2011-11-14 17:17

11. 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

12. 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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Development Status : 4 - Beta [Filter]
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Registered: 2010-01-12 21:52