• spatstat

  • Referenced in 133 articles [sw04429]
  • data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include ... functions, segregation indices, mark dependence diagnostics etc. Point process models can be fitted to point ... kppm, slrm similar to glm. Models may include dependence on covariates, interpoint interaction, cluster formation ... dependence on marks. Fitted models can be simulated automatically. Also provides facilities for formal inference...
  • LIMDEP

  • Referenced in 76 articles [sw04925]
  • frontier and efficiency estimation and discrete choice modeling. The collection of techniques and procedures ... manipulation of discrete and limited dependent variable models, LIMDEP 10 is now unsurpassed ... stochastic frontier, discrete choice and limited dependent variable models, including models for binary, censored, truncated...
  • spBayes

  • Referenced in 339 articles [sw10160]
  • such models involves computationally intensive Markov chain Monte Carlo (MCMC) methods whose efficiency depends upon ... wide variety of Gaussian spatial process models for univariate as well as multivariate point-referenced...
  • MIM

  • Referenced in 129 articles [sw26139]
  • graphs to represent models. These graphs display the structure of dependencies, both associational and causal...
  • huge

  • Referenced in 39 articles [sw08466]
  • models; (3) more functions like data-dependent model selection, data generation and graph visualization...
  • copula

  • Referenced in 148 articles [sw14499]
  • number generation, bivariate dependence measures, perspective and contour plots. Fitting copula models including variance estimates...
  • EULAG

  • Referenced in 27 articles [sw14823]
  • LAGrangian (advective form) framework. EULAG model is an ideal tool to perform numerical experiments ... virtual laboratory with time-dependent adaptive meshes ... within complex, and even time-dependent model geometries. These abilities are due to the unique...
  • FormCalc

  • Referenced in 60 articles [sw06475]
  • framework of FormCalc. The model file does not depend on the latter, however...
  • N-way Toolbox

  • Referenced in 30 articles [sw12996]
  • samples using a given model; Predicting the dependent variable(s) of PLS models; Performing multi...
  • gcmr

  • Referenced in 27 articles [sw07433]
  • Gaussian copula models for marginal regression analysis of non-normal dependent observations. The class provides ... natural extension of traditional linear regression models with normal correlated errors. Any kind of continuous ... categorical responses is allowed. Dependence is conveniently modelled in terms of multivariate normal errors. Inference...
  • COMSOL

  • Referenced in 404 articles [sw04091]
  • software environment facilitates all steps in the modeling process − defining your geometry, meshing, specifying your ... arbitrary functions of the dependent variables.Predefined multiphysics-application templates solve many common problem types...
  • DYNA3D

  • Referenced in 106 articles [sw17036]
  • flexibility in modeling physical problems. Many material models are available to represent a wide range ... elasticity, plasticity, composites, thermal effects, and rate dependence. In addition, DYNA3D has a sophisticated contact ... single surface contact. Rigid materials provide added modeling flexibility. A material model driver with interactive...
  • MIXOR

  • Referenced in 26 articles [sw08990]
  • mixed-effects model assumes that data within clusters are dependent. The degree of dependency ... estimated with the usual model parameters, thus adjusting for dependence resulting from clustering ... estimated, along with the effects of model covariates. Examples illustrating usage and features of MIXOR...
  • betareg

  • Referenced in 39 articles [sw15449]
  • Beta Regression. Beta regression for modeling beta-distributed dependent variables, e.g., rates and proportions ... reduced estimation as well as finite mixture models and recursive partitioning for beta regressions...
  • spdep

  • Referenced in 34 articles [sw04578]
  • package spdep: Spatial dependence: weighting schemes, statistics and models , A collection of functions to create...
  • BioProspector

  • Referenced in 29 articles [sw09375]
  • BioProspector uses Markov background to model the base dependencies of non-motif bases, which greatly ... motifs. The parameters of the Markov background model are either estimated from user-specified sequences...
  • depmixS4

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

  • Referenced in 35 articles [sw04946]
  • adjoint system. Depending on the number of model parameters and the number of functional outputs ... parameters are needed. In this approach, the model is differentiated with respect to each parameter ... sensitivity. The gradient of any output function depending on the solution can then be directly ... functional with respect to any set of model parameters. The FSA module in CVODES implements...
  • Kronos

  • Referenced in 273 articles [sw01270]
  • communication protocols are examples of such time-dependent systems. These systems are often part ... real-time systems need to be rigorously modeled and specified in order to be able...
  • vsn

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