Parallelism Constraint Matrices
Returns a logical vector from a test of whether an object such as a matrix or VGLM object corresponds to a parallelism assumption.
is.parallel.matrix(object, ...)
is.parallel.vglm(object, type = c("term", "lm"), ...)object |
an object such as a constraint matrix or
a |
type |
passed into |
... |
additional optional arguments. Currently unused. |
These functions may be useful for categorical models
such as
propodds,
cumulative,
acat,
cratio,
sratio,
multinomial.
A vector of logicals, testing whether each constraint matrix is a one-column matrix of ones. Note that parallelism can still be thought of as holding if the constraint matrix has a non-zero but constant values, however, this is currently not implemented. No checking is done that the constraint matrices have the same number of rows.
## Not run: 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
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.