GJRM
Generalised Joint Regression Modelling
Routines for fitting various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations' errors association, endogeneity, non-random sample selection or partial observability.
- Version0.2-6.7
- R version≥ 3.6.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- GJRM citation info
- Last release10/25/2024
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Team
Giampiero Marra
Rosalba Radice
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- Imports19 packages
- Enhances1 package
- Reverse Imports4 packages
- Reverse Suggests1 package