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Showing results 11 to 20 of 1,070.


Function B.Iso [logbin v2.0.4]
keywords
smooth
title
Defining Smooths in logbin.smooth Formulae
description
Function used in the definition of smooth terms within logbin.smooth model formulae. The function does not evaluate a smooth --- it exists purely to help set up a model using smooths.
Function mysplinefun [INLABMA v0.1-11]
keywords
smooth
title
Compute spline function
description
This function is similar to splinefun but it returns 0 outside the range of x.
Function fitmarg [INLABMA v0.1-11]
keywords
smooth
title
Fit posterior marginal distributions to points
description
Compute (and re-scale, if necessary) the marginal from a set of points x and values of log-likelihood logy and log-prior density logp.
Function fitmargBMA [INLABMA v0.1-11]
keywords
smooth
title
Compute marginals using Bayesian Model Averaging
description
fitmargBMA takes a list of marginal distributions and weights (presumably, based on some marginal likelihoods) and computes a final distribution by weighting. fitmargBMA2 takes a list of INLA models and computes Bayesian Model Averaging on some of their components. fitmatrixBMA performs averaging on a list of matrices. fitlistBMA performs averaging of elements in lists.
Function INLABMA [INLABMA v0.1-11]
keywords
smooth
title
Perform complete Bayesian Model Averaging on some Spatial Econometrics models
description
This function performs Bayesian Model Averaging on a list of different Spatial Econometrics models. These models have been computed under different values of the spatial autocorrelation parameter rho.
Function BMArho [INLABMA v0.1-11]
keywords
smooth
title
Compute BMA of fitted.values from a list of INLA objects
description
This functions performs a weighted average of the component fitted.values from a list of INLA objects.
Function ise.mixt [ks v1.10.7]
keywords
smooth
title
Squared error bandwidth matrix selectors for normal mixture densities
description
The global errors ISE (Integrated Squared Error), MISE (Mean Integrated Squared Error) and the AMISE (Asymptotic Mean Integrated Squared Error) for 1- to 6-dimensional data. Normal mixture densities have closed form expressions for the MISE and AMISE. So in these cases, we can numerically minimise these criteria to find MISE- and AMISE-optimal matrices.
Function Hns [ks v1.10.7]
keywords
smooth
title
Normal scale bandwidth
description
Normal scale bandwidth.
Function Hpi [ks v1.10.7]
keywords
smooth
title
Plug-in bandwidth selector
description
Plug-in bandwidth for for 1- to 6-dimensional data.
Function Hbcv [ks v1.10.7]
keywords
smooth
title
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
description
BCV bandwidth matrix for bivariate data.