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This breaks in the missing value handling code, presumably because a matrix is created for the covariate.
psor.q <- rbind(c(0,0.1,0,0),c(0,0,0.1,0),c(0,0,0,0.1),c(0,0,0,0))
psor.msm <- msm(state ~ months, subject=ptnum, data=psor, qmatrix = psor.q,
covariates = ~splines::ns(months,df=3))
It would be good to support functions like ns() and bs() which create spline bases.
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