
EnKF
 Referenced in 441 articles
[sw02066]
 model states to represent the error statistics of the model estimate, it applies ensemble integrations ... predict the error statistics forward in time, and it uses an analysis scheme which operates ... directly on the ensemble of model states when observations are assimilated. The EnKF has proven...

VanHuffel
 Referenced in 231 articles
[sw05243]
 also known as the errorsinvariables model. The renewed interest in the TLS method...

spdep
 Referenced in 39 articles
[sw04578]
 spdep: Spatial dependence: weighting schemes, statistics and models , A collection of functions to create spatial ... spatial simultaneous autoregressive (SAR) lag and error models, impact measures for lag models, weighted ... Moran eigenvector spatial filtering, GM SAR error models, and generalized spatial two stage least squares...

HyTech
 Referenced in 333 articles
[sw04125]
 symbolic model checking. If the verification fails, then HyTech generates a diagnostic error trace...

Bandera
 Referenced in 134 articles
[sw07663]
 property being checked. When a modelchecker produces an error trail, Bandera renders the error...

BLINPLUS
 Referenced in 34 articles
[sw37140]
 blinplus corrects for measurement error in one or more model covariates logistic regression coefficients, their ... standard errors, and odds ratios and 95% confidence intervals for a biologically meaningful difference specified ... user (the ”weights”). Regression model parameters from Cox models (PROC PHREG) and linear regression models ... required to empirically characterize the measurement error model. Options are given for main study/external validation...

decon
 Referenced in 22 articles
[sw11088]
 decon: Deconvolution Estimation in Measurement Error Models. This package contains a collection of functions ... kernel methods. We focus two measurement error models in the package: (1) an additive measurement ... error model, where the goal is to estimate the density or distribution function from contaminated ... Deconvolution estimation in measurement error models: The R package decon. Journal of Statistical Software...

DAISY
 Referenced in 54 articles
[sw09059]
 ideal conditions (noisefree observations and errorfree model structure). Of course, determining...

OSCAR
 Referenced in 58 articles
[sw03026]
 techniques in terms of both prediction error and model complexity, while yielding the additional grouping...

goodwin.f77
 Referenced in 22 articles
[sw37144]
 Application to logisticnormal models. Journal of the American Statistical Association ... current interest, including binary measurementerror models and the analysis of teratogenicity experiments. Analytic intractability ... used with multiple covariate regression models of the logisticnormal form. We conducted a simulation ... risk in the logisticnormal measurementerror model. Using standard subroutines to maximize the likelihood...

IFISS
 Referenced in 258 articles
[sw04398]
 Algorithm 866: IFISS, a Matlab toolbox for modelling incompressible flow. IFISS is a graphical Matlab ... mixed finite element methods and a posteriori error estimation of the computed solutions. The package ... equation systems that arise in incompressible flow modelling. A unique feature of the package...

PROC GENMOD
 Referenced in 34 articles
[sw11741]
 models. These include classical linear models with normal errors, logistic and probit models for binary...

System Identification Toolbox
 Referenced in 179 articles
[sw05686]
 parametric, subspacebased, and predictionerror algorithms coupled (in the latter case) with either MIMO ... state space or MISO polynomial model structures. A key feature of the software...

GeoDa
 Referenced in 19 articles
[sw08282]
 spatial lag model and the spatial error model, both estimated by maximum likelihood, are included...

ODRPACK
 Referenced in 21 articles
[sw00649]
 surface fitting, and to measurement error models in statistics. ODRPACK can handle both explicit ... implicit models, and will easily accommodate complex and other types of multiresponse data. The algorithm ... finite difference derivatives, and contains extensive error checking and report generating facilities...

gcmr
 Referenced in 31 articles
[sw07433]
 extension of traditional linear regression models with normal correlated errors. Any kind of continuous, discrete ... allowed. Dependence is conveniently modelled in terms of multivariate normal errors. Inference is performed through ... validating the adequacy of the assumed multivariate model. Methodology is implemented in a R package...

VAMPnets
 Referenced in 19 articles
[sw32927]
 step will lead to large modeling errors. Here we employ the variational approach for Markov ... better than stateofthe art Markov modeling methods and provides easily interpretable fewstate...

TAMC
 Referenced in 72 articles
[sw07198]
 more sophisticated model is extremely time consuming and subject to errors. Hence, automatic generation ... article, is the tangent linear and adjoint model compiler...

sandwich
 Referenced in 36 articles
[sw04486]
 sandwich: Robust Covariance Matrix Estimators , Modelrobust standard error estimators for crosssectional, time series...

Zinc
 Referenced in 26 articles
[sw08334]
 important characteristics. First, Zinc allows specification of models using a natural mathematicallike notation ... checking which allows early detection of errors in models. Finally, perhaps the main novelty...