[Rd] Using response variable in interaction as explanatory variable in glm crashes R

[Jan van der Laan]

The following code crashes R (I know I shouldn't try to estimate such a 
model; this was a bug in some code of mine). I also tried with R-devel; 
same result.


tab <- structure(list(dob_day = c(FALSE, FALSE, FALSE, FALSE, TRUE,
TRUE, TRUE, TRUE), dob_mon = c(FALSE, FALSE, TRUE, TRUE, FALSE,
FALSE, TRUE, TRUE), dob_year = c(FALSE, TRUE, FALSE, TRUE, FALSE,
TRUE, FALSE, TRUE), n = c(1489634L, 17491L, 134985L, 1639L, 47892L,
611L, 4365L, 750L), pred1 = c(1488301, 18187, 135605, 1657, 48547,
593, 4423, 54)), .Names = c("dob_day", "dob_mon", "dob_year",
"n", "pred1"), row.names = c(NA, -8L), class = "data.frame")

m <- glm(dob_mon ~ dob_day*dob_mon, data = tab, family = binomial())


The crash doesn't when the variables are added just as main effects 
(dob_day+dob_mon): this results in a warning and the removal of dob_mon 
from the formula.

--

Jan



 > R.version
                _
platform       x86_64-pc-linux-gnu
arch           x86_64
os             linux-gnu
system         x86_64, linux-gnu
status
major          3
minor          4.1
year           2017
month          06
day            30
svn rev        72865
language       R
version.string R version 3.4.1 (2017-06-30)
nickname       Single Candle