Package: PDMIF 0.1.0

PDMIF: Fits Heterogeneous Panel Data Models

Fits heterogeneous panel data models with interactive effects for linear regression, logistic, count, probit, quantile, and clustering. Based on Ando, T. and Bai, J. (2015) "A simple new test for slope homogeneity in panel data models with interactive effects" <doi:10.1016/j.econlet.2015.09.019>, Ando, T. and Bai, J. (2015) "Asset Pricing with a General Multifactor Structure" <doi:10.1093/jjfinex/nbu026> , Ando, T. and Bai, J. (2016) "Panel data models with grouped factor structure under unknown group membership" <doi:10.1002/jae.2467>, Ando, T. and Bai, J. (2017) "Clustering huge number of financial time series: A panel data approach with high-dimensional predictors and factor structures" <doi:10.1080/01621459.2016.1195743>, Ando, T. and Bai, J. (2020) "Quantile co-movement in financial markets" <doi:10.1080/01621459.2018.1543598>, Ando, T., Bai, J. and Li, K. (2021) "Bayesian and maximum likelihood analysis of large-scale panel choice models with unobserved heterogeneity" <doi:10.1016/j.jeconom.2020.11.013.>.

Authors:Tomohiro Ando [aut, cre], Hani Fayad [aut]

PDMIF_0.1.0.tar.gz
PDMIF_0.1.0.zip(r-4.5)PDMIF_0.1.0.zip(r-4.4)PDMIF_0.1.0.zip(r-4.3)
PDMIF_0.1.0.tgz(r-4.4-any)PDMIF_0.1.0.tgz(r-4.3-any)
PDMIF_0.1.0.tar.gz(r-4.5-noble)PDMIF_0.1.0.tar.gz(r-4.4-noble)
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PDMIF.pdf |PDMIF.html
PDMIF/json (API)

# Install 'PDMIF' in R:
install.packages('PDMIF', repos = c('https://tomohiro-ando.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tomohiro-ando/pdmif/issues

Datasets:
  • data1X - A synthesized input variable dataset to fit a linear model on a panel dataset.
  • data1Y - A synthesized output variable dataset to fit a linear model on a panel dataset.
  • data2X - A synthesized input variable dataset to fit a binomial model on a panel dataset.
  • data2Y - A synthesized output variable dataset to fit a binomial model on a panel dataset.
  • data3X - A synthesized input variable dataset to fit a poisson model on a panel dataset.
  • data3Y - A synthesized output variable dataset to fit a poisson model on a panel dataset.
  • data4LAB - A synthesized vector of memberships needed to fit a linear model on a panel dataset under known group memberships.
  • data4X - A synthesized input variable dataset to fit a linear model on a panel dataset under known group memberships.
  • data4Y - A synthesized output variable dataset to fit a linear model on a panel dataset under known group memberships.
  • data5X - A synthesized input variable dataset to cluster individuals by heterogeneous panel data models with interactive effects.
  • data5Y - A synthesized output variable dataset to cluster individuals by heterogeneous panel data models with interactive effects.
  • data6X - A synthesized input variable dataset to cluster individual units by nonlinear heterogeneous panel data models with interactive effects when the group membership is unknown
  • data6Y - A synthesized output variable dataset to cluster individual units by nonlinear heterogeneous panel data models with interactive effects when the group membership is unknown.
  • data7X - A synthesized input variable dataset to fit a quantile panel data model on a panel dataset.
  • data7Y - A synthesized output variable dataset to fit a quantile panel data model on a panel dataset.
  • data8Y - A synthesized output variable dataset to fit a quantile VAR model with interactive effects and lag=2.

On CRAN:

13 exports 7 stars 1.26 score 9 dependencies 195 downloads

Last updated 1 years agofrom:3a275ee7e2. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winNOTESep 12 2024
R-4.5-linuxNOTESep 12 2024
R-4.4-winNOTESep 12 2024
R-4.4-macNOTESep 12 2024
R-4.3-winNOTESep 12 2024
R-4.3-macNOTESep 12 2024

Exports:HOMTESTHOMTESTGLMHYPTESTPDMIFCLUSTPDMIFCLUSTGLMPDMIFCOUNTPDMIFGLMPDMIFLINPDMIFLINGPDMIFLOGITPDMIFPROBITPDMIFQUANTILEPDMIFQVAR

Dependencies:diagonalslatticeMASSMatrixMatrixModelsncvregquantregSparseMsurvival

Readme and manuals

Help Manual

Help pageTopics
A synthesized input variable dataset to fit a linear model on a panel dataset.data1X
A synthesized output variable dataset to fit a linear model on a panel dataset.data1Y
A synthesized input variable dataset to fit a binomial model on a panel dataset.data2X
A synthesized output variable dataset to fit a binomial model on a panel dataset.data2Y
A synthesized input variable dataset to fit a poisson model on a panel dataset.data3X
A synthesized output variable dataset to fit a poisson model on a panel dataset.data3Y
A synthesized vector of memberships needed to fit a linear model on a panel dataset under known group memberships.data4LAB
A synthesized input variable dataset to fit a linear model on a panel dataset under known group memberships.data4X
A synthesized output variable dataset to fit a linear model on a panel dataset under known group memberships.data4Y
A synthesized input variable dataset to cluster individuals by heterogeneous panel data models with interactive effects.data5X
A synthesized output variable dataset to cluster individuals by heterogeneous panel data models with interactive effects.data5Y
A synthesized input variable dataset to cluster individual units by nonlinear heterogeneous panel data models with interactive effects when the group membership is unknowndata6X
A synthesized output variable dataset to cluster individual units by nonlinear heterogeneous panel data models with interactive effects when the group membership is unknown.data6Y
A synthesized input variable dataset to fit a quantile panel data model on a panel dataset.data7X
A synthesized output variable dataset to fit a quantile panel data model on a panel dataset.data7Y
A synthesized output variable dataset to fit a quantile VAR model with interactive effects and lag=2.data8Y
HOMTESTHOMTEST
HOMTESTGLMHOMTESTGLM
HYPTESTHYPTEST
PDMIFCLUSTPDMIFCLUST
PDMIFCLUSTGLMPDMIFCLUSTGLM
PDMIFCOUNTPDMIFCOUNT
PDMIFGLMPDMIFGLM
PDMIFLINPDMIFLIN
PDMIFLINGPDMIFLING
PDMIFLOGITPDMIFLOGIT
PDMIFPROBITPDMIFPROBIT
PDMIFQUANTILEPDMIFQUANTILE
PDMIFQVARPDMIFQVAR