ps_btscs | R Documentation |
ps_btscs()
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. It is an improvement on sbtscs()
(included in
this package) by its ability to more flexibly work with data that have lots of NAs
that bracket the observed event data. It is used in the peacesciencer
package.
ps_btscs(data, event, tvar, csunit, pad_ts = FALSE)
data |
the data set with which you are working |
event |
some event (0, 1) for which you want spells or peace years |
tvar |
the time variable (e.g. a year) |
csunit |
the cross-sectional unit (likely a dyad if you're doing boilerplate international conflict stuff) |
pad_ts |
should time-series be filled when panels are unbalanced/have gaps? Defaults to FALSE. |
This function is derived from sbtscs()
. See documentation there for more information.
ps_btscs()
takes a data frame and returns the data frame with a new variable
named spell
.
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 sbtscs
in stevemisc
.”
http://svmiller.com/blog/2017/06/quickly-create-peace-years-for-btscs-models-with-stevemisc/
library(dplyr)
library(stevemisc)
data(usa_mids)
# notice: no quotes
ps_btscs(usa_mids, midongoing, year, dyad)
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