• weightedScores

  • Referenced in 8 articles [sw12457]
  • Scores Method for Regression Models with Dependent Data. Has functions that handle the steps ... Poisson and negative binomial regression, with dependent data. Two versions of negative binomial regression from...
  • VTDIRECT95

  • Referenced in 11 articles [sw05290]
  • boost concurrency and mitigate the data dependency, thus improving the load balancing and scalability ... modifications and design considerations are discussed regarding data structures, parallel schemes, error handling, and portability...
  • GraphLab

  • Referenced in 23 articles [sw12830]
  • iterative algorithms with sparse computational dependencies while ensuring data consistency and achieving a high degree...
  • MXML

  • Referenced in 7 articles [sw03376]
  • elegant and concise way context-dependent data, that is, data which can exhibit different variations ... MXML for representing time-dependent data...
  • brms

  • Referenced in 22 articles [sw19099]
  • smoothing terms, user defined dependence structures, censored data, meta-analytic standard errors, and quite...
  • TPVM

  • Referenced in 9 articles [sw03347]
  • straightforward specification of computation based on data dependencies; and (c) a partial shared-address space ... access, with naming and typing of distributed data areas. The latter models offer significantly different...
  • vsn

  • Referenced in 29 articles [sw06105]
  • model incorporates data calibration (a.k.a. normalization), a model for the dependence of the variance...
  • LPARX

  • Referenced in 8 articles [sw09673]
  • first-class objects and expresses data dependencies in a manner which is logically independent...
  • MONARC

  • Referenced in 8 articles [sw08276]
  • describing complex running programs that are data dependent and which concurrently compete for shared resources ... well as large numbers of concurrent data transfers on shared resources. The framework provides...
  • RSVM

  • Referenced in 53 articles [sw15261]
  • rows of Ā represent a greatly reduced data points. Computational results indicate that test ... RSVM), with a nonlinear separating surface that depends on a small randomly selected portion ... with a nonlinear surface that explicitly depends on the entire dataset, and much better than ... using a small random sample of the data. Computational times, as well as memory usage...
  • OP2

  • Referenced in 7 articles [sw17501]
  • heterogeneous platforms. These include handling data dependencies in accessing indirectly referenced data, the impact...
  • BMSS

  • Referenced in 12 articles [sw13450]
  • Variable selection and dependency networks for genomewide data. We describe a new stochastic search algorithm ... sparse dependency networks. Furthermore, we show how to determine genetic networks from genomewide data that...
  • ConfiChair

  • Referenced in 7 articles [sw13266]
  • while still allowing it to perform data-dependent computations. The technique is based...
  • RAMAS Risk Calc

  • Referenced in 19 articles [sw09590]
  • statistical distributions and their dependency relationships when empirical data are lacking. Risk Calc makes...
  • rjags

  • Referenced in 51 articles [sw08039]
  • data analysis. JAGS uses Markov Chain Monte Carlo (MCMC) to generate a sequence of dependent...
  • NModel

  • Referenced in 11 articles [sw11364]
  • indicated for testing behaviors with data- and history-dependence and nondeterminism, where many different variations...
  • depend.truncation

  • Referenced in 5 articles [sw11100]
  • parametric and semiparametric models based on dependently truncated data. The package performs parametric and semiparametric ... inferences for models based on dependently truncated data. Semi-parametric approaches are based on Chaieb...
  • ARESLab

  • Referenced in 5 articles [sw11786]
  • model complex and high-dimensional data dependencies. The model takes the form of an expansion ... knot locations) are automatically determined by the data through a forward/backward iterative approach. The toolbox...
  • CoClust

  • Referenced in 3 articles [sw19990]
  • work is the study of clustering dependent data by means of copula functions. Copulas ... brief) that allows to cluster dependent data according to the multivariate structure of the generating ... test our proposal on simulated data for different dependence scenarios and compare it with ... applications of the CoClust to real microarray data of breast-cancer patients...
  • depmixS4

  • Referenced in 13 articles [sw08234]
  • package depmixS4: Dependent Mixture Models - Hidden Markov Models of GLMs and Other Distributions ... categorical and continuous (time series) data, otherwise known as dependent mixture models...