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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>
| 221. lshorth - Distribution diagnostics based on the lenght of the shorth, the shortest interval containing a specified fraction of the distribution. The diagnostics can be used to detect qualitative features, such as the modality or skewness of a distribution. | |
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| 222. lsmeans - Calculate adjusted means and standard errors for main factors and interaction terms of lm, gls and lme models. | |
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| 223. Machine Learning in R - S4 package to unify many machine learning methods in R - currently classification and regression. Training, prediction, resampling, tuning, benchmarking / modelselection are possible. Parallel execution is supported through snowfall and NWS. | |
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| 224. Management Science @ WU - Management Science (Vienna University of Economics and Business Administration) community service. Collaborative groupwork mainly for programming in R. | |
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| 225. marelac: Tools for Aquatic Science - Datasets, constants, conversion factors and utilities for the marine and lacustrine sciences.
marelacTeaching includes lecture notes "Using R for scientific computing" (for the novice non-statistician R-user). | |
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| 226. Marketing Analytics Repository - The Marketing Analysis Repository is a project that aims to bring quantitative Marketing and R together. For example, by developing an R package that supports typical analysis and decision tasks. | |
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| 228. Markov Models in Sequence Analysis - Implementations of several Markov Models (MM) for comparing, matching and analyzing genetic sequences. E.g., simple MM, HMM, profile HMM and profile EMM. | |
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| 229. Matrix - Methods and Classes - R package with S4 classes and methods for matrices, linking to state-of-the-art algorithms for dense and sparse matrices, notably Lapack, CHOLMOD and Csparse. | |
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| 230. matrixStats - This package provides methods operating on rows and columns of matrices, e.g. rowMedians(), rowWeightedMedians(), rowVars(), rowMads() etc. The methods are optimized for speed and memory. This is a collaborative project where contributions are welcome. | |
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| 232. mboost - Boosting algorithms for fitting
generalized linear, additive and interaction models to potentially
high-dimensional data. | |
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| 233. MCS - matrix computations and statistics | |
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| 234. mefa - Multivariate data handling - R package for multivariate data processing. Object classes and utilities are provided to manipulate structured biotic data. Reports are generated in plain text or LaTeX format. Also contains functions for ABMI data. | |
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| 236. MethComp - Functions for analysis of method comparison studies. | |
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| 237. mhurdle - mhurdle: a R package for the estimation of zero left censored models. Null values may be caused by a selection process, a corner solution or by the infrequency of purchase | |
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| 239. mice - imputation by chained equations - The package mice (multivariate imputation by chained equations) contains functions for multiple imputation of missing data, for the analysis of imputed data, and for pooling results. The methodology is based on Fully Conditional Specification. | |
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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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