fitmargBMA takes a list of marginal distributions and weights (presumably, based on some marginal likelihoods) and computes a final distribution by weighting.
● Data Source:
CranContrib
● Keywords: smooth
● Alias: fitlistBMA, fitmargBMA, fitmargBMA2, fitmatrixBMA
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These functions fit some spatial econometrics models for a given value of rho (the spatial autocorrelation parameter). sem.inla fits a spatial error model, slm fits a spatial lag model and sdm.inla fits a spatial Durbin model.
● Data Source:
CranContrib
● Keywords: models
● Alias: sdm.inla, sem.inla, slm.inla
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This function computes (or estimates) the trace of matrix (I-rho*W)^-1, which is often needed when computing impacts in some spatial econometrics models.
● Data Source:
CranContrib
● Keywords: math
● Alias: trIrhoWinv
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This function fits the model by Leroux et al. for a given value of the parameter lambda, i.e., the mixture parameter that appears in the variance..
● Data Source:
CranContrib
● Keywords: models
● Alias: leroux.inla
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Compute log-prior density for rho
● Data Source:
CranContrib
● Keywords: distribution
● Alias: logprrho
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This functions recomputes the impacts summaries using the (approximated) marginals rather than by weighting on the different summaries.
● Data Source:
CranContrib
● Keywords: models
● Alias: recompute.impacts
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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.
● Data Source:
CranContrib
● Keywords: smooth
● Alias: fitmarg
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This function is similar to splinefun but it returns 0 outside the range of x.
● Data Source:
CranContrib
● Keywords: smooth
● Alias: mysplinefun
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This function takes a marginal distribution (represetend by a 2-column matrix) and computes the marginal distribution of w*x.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: rescalemarg
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This functions performs a weighted average of the component fitted.values from a list of INLA objects.
● Data Source:
CranContrib
● Keywords: smooth
● Alias: BMArho
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providing 
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