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550 projects in result set. Displaying 20 per page. Projects sorted alphabetically by Project Name. <1> <2> <3> <4> <5> <6> <7> <8> <9> <10> <11> <12> <13> <14> <15> <16> <17> <18> <19> <20> <21> <22> <23> <24> <25> <26> <27> <28>
| 241. mixed stock analysis - Tools for mixed stock analysis: i.e., estimation
the origins of individuals in a mixed population,
based on genetic or morphological markers. The methods should be useful for any biologists estimating origins of organisms
in a mixed population. | |
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| 242. Mixture of Experts - The use of Mixture of Experts to integrate clinical variable and microarray data may help refine the prognostic of a disease and increase the prediction accuracy in cancer studies. | |
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| 243. mlogit - mlogit: a R package for the estimation of the multinomial logit model, with alternative and individual specific variables | |
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| 244. MLP Package - Pathway analysis software for gene expression data. R-Package for implementing the MLP approach (Raghavan et. al. J. Computational Biology, 2006). The scope may later be expanded to include a variety of statistics and other data types. | |
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| 245. mmSAR - mmSAR is an R package for the modelling of the Species-Area Relationship (SAR). The mmSAR package implement the multimodel SAR paradigm and provides ecologists with user friendly functions fit SAR models and calculate multimodel SAR inference. | |
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| 246. 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. | |
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| 248. Modelling Peaks Over Threshold - The project consists in developing functions for peaks over threshold modeling. Most of results come from the extreme value theory (EVT). The EVT is currently extensively used, mostly in environmental sciences and finance. | |
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| 250. Monte Carlo IBD Matrix Estimation - Flexible Monte Carlo Identity-By-Descent (IBD) Matrix Estimation with Within-Line Segregation for Use of Quantitative Trait Loci (QTL) Detection in F2 Intercross Designs. | |
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| 251. MPCBS - Multi-platform segmentation for DNA copy number data. | |
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| 252. MRP - Multilevel Regressions and Poststratification | |
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| 253. M Speekenbrink Various Models 4 Research - This project hosts various smaller scale packages developed as part of the research of M. Speekenbrink. These packages are relatively specialized and tightly linked to published work. | |
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| 254. mstate - This project holds the mstate package, a package for non- and semi-parametric estimation and prediction in multi-state models. | |
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| 255. MSToolkit - R library for simulating clinical trials and evaluating operating characteristics. | |
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| 256. mstree: Enhanced Splus mstree command - An implementation of the Splus mstree command with an extended interface. Allows any distance metric, graphs, or a dataframe. Also implements optimal ordering of a tree. | |
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| 257. 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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| 258. Multiple Comparisons procedures - Applies a wide range of multiple FDR controlling procedures.
Future versions will include more FWE controlling procedures as well as FDR. | |
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| 259. Multiple Cue Probability Learning - mcplR offers a flexible (S4) framework to investigate multiple cue probability learning (MCPL). mcplR incorporates a number of learning models (Rescorla-Wagner, GCM, ALCOVE, etc) in a general state-space framework, where new models can be easily added. | |
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| 260. Multivariate Projection Methods - mpm is an R package by Paul Lewi and Luc Wouters for exploratory multivariate analysis of large data matrices, such as gene expression data from microarray experiments. | |
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550 projects in result set. Displaying 20 per page. Projects sorted alphabetically by Project Name. <1> <2> <3> <4> <5> <6> <7> <8> <9> <10> <11> <12> <13> <14> <15> <16> <17> <18> <19> <20> <21> <22> <23> <24> <25> <26> <27> <28>
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