sbtscs() allows you to create spells ("peace years" in
the international conflict context) between observations of some event. This
will allow the researcher to better model temporal dependence in binary time-series
cross-section ("BTSCS") models.
sbtscs(data, event, tvar, csunit, pad_ts = FALSE)
the data set with which you are working
some event (0, 1) for which you want spells or peace years
the time variable (e.g. a year)
the cross-sectional unit (likely a dyad if you're doing boilerplate international conflict stuff)
should time-series be filled when panels are unbalanced/have gaps? Defaults to FALSE.
I should confess outright, and it should be obvious to anyone
who looks at the code, that I liberally copy from Dave Armstrong's
btscs() function in the DAMisc package. I offer two such improvements.
btscs() function chokes when a large number of cross-sectional units
have no recorded "event." I don't know why this happens but it does. Further, "tidying"
up the code by leaning on dplyr substantially speeds up computation. Incidentally,
this concerns the same cross-sectional units with no recorded events that can choke the
btscs() function in large numbers.
sbtscs() takes a data frame and returns the data frame with a new variable
David A. Armstrong, Steven V. Miller
Armstrong, Dave. 2016. “DAMisc: Dave Armstrong's Miscellaneous Functions.” R package version 1.4-3.
Miller, Steven V. 2017. “Quickly Create Peace Years for BTSCS Models with
## Not run: library(dplyr) library(stevemisc) data(usa_mids) # notice: no quotes sbtscs(usa_mids, midongoing, year, dyad) ## End(Not run)
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