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SDPDmod (version 0.0.6)

Spatial Dynamic Panel Data Modeling

Description

Spatial model calculation for static and dynamic panel data models, weights matrix creation and Bayesian model comparison. Bayesian model comparison methods were described by 'LeSage' (2014) . The 'Lee'-'Yu' transformation approach is described in 'Yu', 'De Jong' and 'Lee' (2008) , 'Lee' and 'Yu' (2010) and 'Lee' and 'Yu' (2010) .

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Version

Install

install.packages('SDPDmod')

Monthly Downloads

323

Version

0.0.6

License

GPL (>= 3)

Maintainer

Rozeta Simonovska

Last Published

April 11th, 2025

Functions in SDPDmod (0.0.6)

rownor

Row-normalization
print.SDPDm

print for class SDPDm
mOrdNbr

1st to m-th order neighbors matrix
print.blmpSDPD

Print for class blmpSDPD
print.summary.SDPDm

Print of summary for class SDPDm
summary.impactsSDPDm

Summary for class impactsSDPDm
summary.SDPDm

Summary for class SDPDm
mNearestN

m nearest neighbors based on a distance matrix
print.summary.impactsSDPDm

Print summary for class impactsSDPDm
usa46

Spatial weights matrix of 46 USA states
SDPDm

Spatial dynamic panel data lag model with fixed effects maximum likelihood estimation.
coef.SDPDm

Extract coefficients from model of class SDPDm
eignor

Maximum eigenvalue normalization
ExpDistMat

Exponential distance matrix
gN3dist

Distance between the centroids of NUTS3 regions in Germany
blmpSDPD

Bayesian log-marginal posterior probabilities for spatial panel models
InvDistMat

Inverse distance matrix
DDistMat

Double-Power Distance Weights Matrix
SharedBMat

Shared boundary matrix
DistWMat

Distance weights matrix (Inverse distance, Exponential distance or Double-Distance matrix)
impactsSDPDm

Impacts for 'SDPDm' objects
isrownor

Is the matrix row-normalized