Weighted-Average Least Squares Model Averaging

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Documentation for package ‘WALS’ version 0.2.4

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binomialWALS Extended Family Objects for Models
checkSingularitySVD Internal function: Check singularity of SVDed matrix
coef.wals Methods for wals and walsMatrix Objects
computeGamma1 Internal function: Compute model-averaged estimator of focus regressors in walsNB
computeGamma1r Internal function: Computes fully restricted one-step ML estimator for transformed regressors in walsNB
computeGammaUnSVD Internal function: Computes unrestricted one-step ML estimator for transformed regressors in walsNB
computePosterior Internal function: Compute posterior mean and variance of normal location problem
computePosterior.familyPrior Internal function: Compute posterior mean and variance of normal location problem
computePosterior.familyPrior_laplace Internal function: Compute posterior mean and variance of normal location problem
computeX2M1X2 Internal function: Computes X2M1X2 for walsNB when SVD is applied to Z1
controlGLM Control function for initial GLM fit
controlNB Control function for initial NB fit
ddweibull Internal function: double (reflected) Weibull density
dlaplace Internal function: Laplace density
dsubbotin Internal function: Subbotin density
familyNBWALS Extended Family Objects for Models
familyPrior Family Objects for Prior Distributions in WALS
familyPrior.wals Family Objects for Prior Distributions in WALS
familyPrior_laplace Family Objects for Prior Distributions in WALS
familyWALS Extended Family Objects for Models
familyWALS.walsGLM Extended Family Objects for Models
familyWALScount Extended Family Objects for Models
fitNB2 Internal function: Fits a NB2 regression via maximum likelihood with log-link for mean and dispersion parameter.
fitted.wals Methods for wals and walsMatrix Objects
gammaToBeta Internal function: Transform gammas back to betas
GrowthMP Determinants of Economic Growth
GrowthMPP Determinants of Economic Growth
laplace Family Objects for Prior Distributions in WALS
logLik.walsGLM Methods for walsGLM, walsGLMmatrix, walsNB and walsNBmatrix Objects
model.matrix.wals Methods for wals and walsMatrix Objects
negativeBinomial Negative binomial family
negbinFixedWALS Extended Family Objects for Models
negbinWALS Extended Family Objects for Models
nobs.wals Methods for wals and walsMatrix Objects
poissonWALS Extended Family Objects for Models
predict.wals Methods for wals and walsMatrix Objects
predict.walsGLM Methods for walsGLM, walsGLMmatrix, walsNB and walsNBmatrix Objects
predict.walsGLMmatrix Methods for walsGLM, walsGLMmatrix, walsNB and walsNBmatrix Objects
predict.walsMatrix Methods for wals and walsMatrix Objects
predictCounts Internal methods: Predict probability for counts
predictCounts.familyWALScount Internal methods: Predict probability for counts
print.familyPrior Family Objects for Prior Distributions in WALS
print.summary.wals Methods for wals and walsMatrix Objects
print.summary.walsGLM Methods for walsGLM, walsGLMmatrix, walsNB and walsNBmatrix Objects
print.summary.walsNB Methods for walsGLM, walsGLMmatrix, walsNB and walsNBmatrix Objects
print.wals Methods for wals and walsMatrix Objects
print.walsGLM Methods for walsGLM, walsGLMmatrix, walsNB and walsNBmatrix Objects
residuals.wals Methods for wals and walsMatrix Objects
residuals.walsGLM Methods for walsGLM, walsGLMmatrix, walsNB and walsNBmatrix Objects
semiorthogonalize Internal function: Semiorthogonal-type transformation of X2 to Z2
snbinom Internal function: first derivatives of NB2 PMF
subbotin Family Objects for Prior Distributions in WALS
summary.wals Methods for wals and walsMatrix Objects
summary.walsGLM Methods for walsGLM, walsGLMmatrix, walsNB and walsNBmatrix Objects
summary.walsNB Methods for walsGLM, walsGLMmatrix, walsNB and walsNBmatrix Objects
svdLSplus Internal function: Uses SVD components to compute final estimate via Sherman-Morrison-Woodbury formula.
terms.wals Methods for wals and walsMatrix Objects
vcov.wals Methods for wals and walsMatrix Objects
vcov.walsNB Calculate Variance-Covariance Matrix for a '"walsNB"' object
wals Weighted-Average Least Squares for linear regression models
wals.default Weighted-Average Least Squares for linear regression models
wals.formula Weighted-Average Least Squares for linear regression models
wals.matrix Weighted-Average Least Squares for linear regression models
walsFit Fitter function for Weighted Average Least Squares estimation
walsGLM Weighted Average Least Squares for Generalized Linear Models
walsGLM.default Weighted Average Least Squares for Generalized Linear Models
walsGLM.formula Weighted Average Least Squares for Generalized Linear Models
walsGLM.matrix Weighted Average Least Squares for Generalized Linear Models
walsGLMfit Fitter function for Weighted Average Least Squares estimation of GLMs
walsGLMfitIterate Iteratively fitting walsGLM, internal function for walsGLM.formula and walsGLM.matrix.
walsGLMmatrix Weighted Average Least Squares for Generalized Linear Models
walsNB Weighted-Average Least Squares for Negative Binomial Regression
walsNB.default Weighted-Average Least Squares for Negative Binomial Regression
walsNB.formula Weighted-Average Least Squares for Negative Binomial Regression
walsNB.matrix Weighted-Average Least Squares for Negative Binomial Regression
walsNBfit Fitter function for Weighted Average Least Squares estimation of NB2 regression model
walsNBfitIterate Iteratively fitting walsNB, internal function for walsNB.formula and walsNB.matrix.
walsNBmatrix Weighted-Average Least Squares for Negative Binomial Regression
weibull Family Objects for Prior Distributions in WALS