PanelCount: Panel Count Models with Random Effects and/or Sample...
In PanelCount: Random Effects and/or Sample Selection Models for Panel Count Data
PanelCount R Documentation
Panel Count Models with Random Effects and/or Sample Selection
Description
A high performance package for estimating panel count models with random effects and/or sample selection.
Functions
ProbitRE: Probit model with random effects on individuals
PoissonRE: Poisson model with random effects on individuals
PLN_RE: Poisson Lognormal model with random effects on individuals
ProbitRE_PoissonRE: PoissonRE and ProbitRE model with correlated random effects on individuals
ProbitRE_PLNRE: PLN_RE and ProbitRE model with correlated random effects on individual level and correlated error terms on individual-time level
References
1. Peng, J., & Van den Bulte, C. (2023). Participation vs. Effectiveness in Sponsored Tweet Campaigns: A Quality-Quantity Conundrum. Management Science (forthcoming). Available at SSRN: <https://www.ssrn.com/abstract=2702053>
2. Peng, J., & Van den Bulte, C. (2015). How to Better Target and Incent Paid Endorsers in Social Advertising Campaigns: A Field Experiment. 2015 International Conference on Information Systems. <https://aisel.aisnet.org/icis2015/proceedings/SocialMedia/24/>
PanelCount documentation built on Aug. 21, 2023, 9:09 a.m.
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| PanelCount | R Documentation |
Panel Count Models with Random Effects and/or Sample Selection
Description
A high performance package for estimating panel count models with random effects and/or sample selection.
Functions
ProbitRE: Probit model with random effects on individuals
PoissonRE: Poisson model with random effects on individuals
PLN_RE: Poisson Lognormal model with random effects on individuals
ProbitRE_PoissonRE: PoissonRE and ProbitRE model with correlated random effects on individuals
ProbitRE_PLNRE: PLN_RE and ProbitRE model with correlated random effects on individual level and correlated error terms on individual-time level
References
1. Peng, J., & Van den Bulte, C. (2023). Participation vs. Effectiveness in Sponsored Tweet Campaigns: A Quality-Quantity Conundrum. Management Science (forthcoming). Available at SSRN: <https://www.ssrn.com/abstract=2702053>
2. Peng, J., & Van den Bulte, C. (2015). How to Better Target and Incent Paid Endorsers in Social Advertising Campaigns: A Field Experiment. 2015 International Conference on Information Systems. <https://aisel.aisnet.org/icis2015/proceedings/SocialMedia/24/>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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