R: Weighted-Average Least Squares Model Averaging

# Weighted-Average Least Squares Model Averaging

## Documentation for package ‘WALS’ version 0.2.5

- DESCRIPTION file.
- Package NEWS.

## Help Pages

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