• spfrontier

  • Referenced in 3 articles [sw25124]
  • package spfrontier: Spatial Stochastic Frontier Models. A set of tools for estimation of various spatial...
  • InterSpread Plus

  • Referenced in 1 article [sw33832]
  • InterSpread Plus: a spatial and stochastic simulation model of disease in animal populations. We describe ... spatially explicit, stochastic simulation model of disease spread, InterSpread Plus, in terms of its epidemiological...
  • epimdr

  • Referenced in 4 articles [sw31580]
  • chain-binomial stochastic models; catalytic disease models; coupled map lattice models of spatial transmission...
  • StochSS

  • Referenced in 6 articles [sw24921]
  • automatically converts your models from ODE, to well-mixed stochastic, to spatial stochastic. Supports parameter...
  • sbioPN

  • Referenced in 5 articles [sw11725]
  • deterministic and stochastic systems of biochemical reaction networks with spatial effects. Models are defined using ... Kutta Dormand Prince 45 explicit algorithm. For stochastic solutions, sbioPN offers two variants of Gillespie...
  • MOLNs

  • Referenced in 2 articles [sw16724]
  • biology using pyurdme. Computational experiments using spatial stochastic simulations have led to important new biological ... computation environment to support productive and reproducible modeling can be prohibitive for practitioners in systems ... spatial stochastic simulation tools, effectively limiting the type of biological questions addressed by quantitative modeling ... present PyURDME, a new, user-friendly spatial modeling and simulation package, and MOLNs, a cloud...
  • Stochastic kriging

  • Referenced in 1 article [sw12891]
  • inherent in the stochastic simulation; it accomplishes this by incorporating trend models that are common ... least-squares regression, spatial correlation modeling to account for inadequacies of the trend model ... output-variance model which is also based on spatial correlation concepts. Stochastic kriging facilitates adaptive...
  • Eir

  • Referenced in 1 article [sw39005]
  • mainly focusing on discrete-time Markovian spatial models. Eir, named after the Norse valkyrie with ... user to conduct stochastic simulations of epidemics, primarily using spatial models. With this software...
  • ssfa

  • Referenced in 1 article [sw37936]
  • controlling the spatial heterogeneity in Stochastic Frontier Analysis (SFA) models, for cross-sectional data ... three terms: the first one related to spatial peculiarities of the territory in which each...
  • TurbSim

  • Referenced in 9 articles [sw34447]
  • stochastic, full-field, turbulent-wind simulator. It uses a statistical model (as opposed ... physics-based model) to numerically simulate time series of three-component wind-speed vectors ... space. Spectra of velocity components and spatial coherence are defined in the frequency domain...
  • MUI

  • Referenced in 9 articles [sw18209]
  • flexibility of the framework in handling heterogeneous models and solvers. In the first example ... spatial resolutions. In the second example, we coupled the deterministic SPH method with the stochastic...
  • PISKaS

  • Referenced in 1 article [sw29283]
  • Spatial Kappa Simulator. PISKaS is a stochastic simulator for rule-based models written ... version of Kappa-Language, which we call Spatial Kappa (see the wiki of this repository ... computing architecture. To run a spatial simulation you need to use the mpirun tool ... amount of compartments or cells of your model. You need to specify the synchronization step...
  • STOCHSIM

  • Referenced in 6 articles [sw32181]
  • STOCHSIM: modelling of stochastic biomolecular processes. Summary: StochSim is a stochastic simulator for chemical reactions ... written in Perl/Tk. A simple two-dimensional spatial structure has also been implemented, in which...
  • I2T

  • Referenced in 5 articles [sw36509]
  • stochastic image grammar that specifies syntactic relations (i.e., compositional) and semantic relations (e.g., categorical, spatial ... elements. Therefore, the AoG is a unified model of both categorical and symbolic representations...
  • CensSpatial

  • Referenced in 1 article [sw17077]
  • models for censored spatial data. It provides different estimation methods as the SAEM (Stochastic Approximation ... offers graphical tools for assessing the fitted model...
  • PISKa

  • Referenced in 1 article [sw29285]
  • Spatial Kappa, based on KaSim, a stochastic simulator for rule-based models. With PISKa...
  • astrodatR

  • Referenced in 2 articles [sw41345]
  • sample hypothesis tests; spatial point processes; nonlinear regression; mixture models; censoring and truncation; multivariate analysis ... clustering; inhomogeneous Poisson processes; periodic and stochastic time series analysis...
  • BayesNSGP

  • Referenced in 3 articles [sw30769]
  • nonstationary modeling involves a closed-form, convolution-based covariance function with spatially-varying parameters; these ... deterministically (using covariates or basis functions) or stochastically (using approximate Gaussian processes). Stationary Gaussian processes...
  • spup

  • Referenced in 1 article [sw27794]
  • Propagation Analysis. Uncertainty propagation analysis in spatial environmental modelling following methodology described in Heuvelink ... model parameters, via the environmental model onto model outputs. The functions include uncertainty model specification ... stochastic simulation and propagation of uncertainty using Monte Carlo (MC) techniques. Uncertain variables are described ... numerical and categorical data types are handled. Spatial auto-correlation within an attribute and cross...
  • StoSpa2

  • Referenced in 1 article [sw33817]
  • software package for stochastic simulations of spatially extended systems. Code-base has been completely refactored ... StoSpa2 are researchers who wish to model a chemical or biological system using...