
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]
 chainbinomial 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 wellmixed 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, userfriendly 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 ... leastsquares regression, spatial correlation modeling to account for inadequacies of the trend model ... outputvariance model which is also based on spatial correlation concepts. Stochastic kriging facilitates adaptive...

Eir
 Referenced in 1 article
[sw39005]
 mainly focusing on discretetime 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 crosssectional data ... three terms: the first one related to spatial peculiarities of the territory in which each...

TurbSim
 Referenced in 9 articles
[sw34447]
 stochastic, fullfield, turbulentwind simulator. It uses a statistical model (as opposed ... physicsbased model) to numerically simulate time series of threecomponent windspeed 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 rulebased models written ... version of KappaLanguage, 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 twodimensional 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 rulebased 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 closedform, convolutionbased covariance function with spatiallyvarying 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 autocorrelation within an attribute and cross...

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