bookshop_orders: Antiquarian Bookshop Orders
In gasmodel: Generalized Autoregressive Score Models
bookshop_orders R Documentation
Antiquarian Bookshop Orders
Description
Individual orders of a Czech antiquarian bookshop from June 8, 2018 to December 20, 2018.
This dataset is analyzed in Tomanová and Holý (2021).
Usage
bookshop_orders
Format
A data frame with columns:
- id
ID of the order.
- datetime
Date and time of the order.
- quantity
Number of purchased books.
- duration
Number of minutes since the last order.
- duration_adj
Duration since the last order adjusted for diurnal pattern.
References
Tomanová, P. and Holý, V. (2021). Clustering of Arrivals in Queueing Systems: Autoregressive Conditional Duration Approach. Central European Journal of Operations Research, 29(3), 859–874. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s10100-021-00744-7")}.
gasmodel documentation built on Aug. 19, 2025, 1:15 a.m.
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| bookshop_orders | R Documentation |
Antiquarian Bookshop Orders
Description
Individual orders of a Czech antiquarian bookshop from June 8, 2018 to December 20, 2018. This dataset is analyzed in Tomanová and Holý (2021).
Usage
bookshop_orders
Format
A data frame with columns:
- id
ID of the order.
- datetime
Date and time of the order.
- quantity
Number of purchased books.
- duration
Number of minutes since the last order.
- duration_adj
Duration since the last order adjusted for diurnal pattern.
References
Tomanová, P. and Holý, V. (2021). Clustering of Arrivals in Queueing Systems: Autoregressive Conditional Duration Approach. Central European Journal of Operations Research, 29(3), 859–874. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s10100-021-00744-7")}.
R Package Documentation
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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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