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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>
| 301. photonics - collection of R packages for specific tasks related to physics, optics, photonics, plasmonics, liquid crystals. | |
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| 302. phylobase - Defining the basic S4 classes and methods for representing and manipulating phylogenetic trees and data in R. | |
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| 303. PhyloConductor - PhyloConductor aims to form a collection of R packages for phylogenetic, comparative, and other evolutionary analysis that is coherent and user-accessible. Initially we focus on comparative phylogenetic methods for the analysis of trait evolution. | |
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| 304. Phylogenetic Analysis Helper - Helper functions and methods for phylogenetic comparative methods packages phylobase, ape, ouch, geiger and ade4. | |
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| 305. picante - PICANTE: Phylocom integration, community analyses, null-models, traits and evolution in R | |
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| 306. PiFace GUI for sample size determination - Provide a Java GUI for sample-size methods that interfaces with R. In the long term, make the software more open to further development by talented people. | |
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| 307. Playing games with R using a NWS Server - The R package 'gamesNWS' provides an infrastructure to play different games (e.g. uno, poker) in a network. For the communication a NetWorkSpace Server and the R package NWS will be used. | |
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| 309. Plot manageable subsets of data - Plotting a large data set is difficult if it does not fit into memory as a data frame, so we introduce more efficient data structures and alternative plot functions that work with large data. | |
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| 311. pmoments - The pmoments package implements both analytical and sample estimation of partial moments (upper/lower). In addition it provides for portfolio optimization using symmetric partial co-moment expectations in a quadratic context. | |
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| 312. polycor: polychoric and polyserial - Computes polychoric and polyserial correlations by quick "two-step" methods or ML, optionally with standard errors; tetrachoric and biserial correlations are special cases. | |
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| 314. Population Stochastic Modelling - Estimation and simulation of multivariate linear mixed-effects models using stochastic differential equations. Provides smoothed estimates of model states and allows for multidimentional input and dosage regimen. | |
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| 315. Practical Data Analysis - Support routines and data accompanying Brian Yandell's "Practical Data Analysis for Designed Experiments" (www.stat.wisc.edu/~yandell/pda) book organized as an R package. | |
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| 316. prefmod - analysis of preferences - Fits loglinear Bradley-Terry and pattern models for paired comparisons, rankings, and ratings. Some treatment of MCAR and MNAR. Design matrices for analysing real and derived (from ratings or rankings) paired comparison data using a loglinear approach. | |
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| 317. PrimProd - PrimProd contains routines for the analysis of photosynthesis-irradiance curves in relation with environmental factors. It contains selection procedures based on nested model schemes, plotting functionality, and routines for handling lists of models. | |
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| 318. Probability - This package is for performing elementary probability on finite sample spaces, represented by data frames or lists. Functionality includes setting up sample spaces, set algebra, probability and conditional probability, characteristic functions, and more. | |
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| 319. Probability distributions - Provide a handbook on probability distributions with plenty of code example for plotting, fitting and/or using probability distributions. | |
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| 320. Probability of Correct Selection - Functions for calculating the probability of correctly selecting (PCS) the best t out of k populations. Used to filter or select from microarray or other high dimensional datasets. PCS is an alternative to multiple comparison approaches. | |
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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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