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Development Status > 3 - Alpha |
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11 projects in result set.
0. 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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Activity Percentile: 0.00 Registered: 2011-11-14 17:17 |
1. DierckxSpline - This package contains wrappers for Dierckx FITPACK routines for splines. These include univariate smoothing and least-squares splines. | |
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Activity Percentile: 0.00 Registered: 2007-09-07 17:22 |
2. 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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Activity Percentile: 0.00 Registered: 2011-05-11 13:44 |
3. Multilevel frailty models - Semiparametric proportional hazard models with K random effects, estimated via the EM-PL algorithm (Horny, 2009) | |
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Activity Percentile: 0.00 Registered: 2012-04-30 07:14 |
4. topmodels: Extended Model Infrastructure - topmodels: Infrastructure for Forecasting and Assessment of Probabilistic Models | |
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Activity Percentile: 0.00 Registered: 2018-02-01 16:08 |
5. 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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Activity Percentile: 0.00 Registered: 2012-08-09 13:01 |
6. 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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Activity Percentile: 0.00 Registered: 2010-01-12 21:52 |
7. 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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Activity Percentile: 0.00 Registered: 2013-07-05 08:44 |
8. BayesR: Bayesian Regression - Developement of R Functions to Estimate Complex Bayesian Regression Models. | |
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Activity Percentile: 0.00 Registered: 2010-08-20 11:45 |
9. 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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Activity Percentile: 0.00 Registered: 2012-01-22 07:45 |
10. 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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Activity Percentile: 0.00 Registered: 2011-08-20 14:19 |