is.parallel.matrix(object, ...)
is.parallel.vglm(object, type = c("term", "lm"), ...)
vglm
object.constraints
.propodds
,
cumulative
,
acat
,
cratio
,
sratio
,
multinomial
.constraints
,
vglm
.require("VGAMdata")
fit <- vglm(educ ~ sm.bs(age) * sex + ethnicity,
cumulative(parallel = TRUE), head(xs.nz, 200))
is.parallel(fit)
is.parallel(fit, type = "lm") # For each column of the LM matrix
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