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SDPDmod (version 0.0.7)

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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Install

install.packages('SDPDmod')

Monthly Downloads

296

Version

0.0.7

License

GPL (>= 3)

Maintainer

Rozeta Simonovska

Last Published

November 17th, 2025

Functions in SDPDmod (0.0.7)

impactsSDPDm

Impacts for 'SDPDm' objects
rownor

Row-normalization
summary.SDPDm

Summary for class SDPDm
isrownor

Is the matrix row-normalized
print.blmpSDPD

Print for class blmpSDPD
print.SDPDm

print for class SDPDm
SDPDm

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

Shared boundary matrix
blmpSDPD

Bayesian log-marginal posterior probabilities for spatial panel models
ExpDistMat

Exponential distance matrix
gN3dist

Distance between the centroids of NUTS3 regions in Germany
eignor

Maximum eigenvalue normalization
InvDistMat

Inverse distance matrix
coef.SDPDm

Extract coefficents from model of class SDPDm
mNearestN

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

Print of summary for class SDPDm
DistWMat

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

Double-Power Distance Weights Matrix
mOrdNbr

1st to m-th order neighbors matrix
print.summary.impactsSDPDm

Print summary for class impactsSDPDm
summary.impactsSDPDm

Summary for class impactsSDPDm
usa46

Spatial weights matrix of 46 USA states