cmc_raw: Fit CMC model via CNQR or MLE
In vincenzocoia/cmc: Copula-Marginal Composition Method

Description Usage Arguments Value

Provides a raw workhorse for CNQR (cmc_cnqr_raw) or MLE (cmc_mle_raw). Need to provide it with highly processed input. Intended to be used as internal functions.

cmc_mle_raw(udat, force_ig, method, xvine, u2cond)

cmc_cnqr_raw(udat, force_ig, xvine, u2cond, sc, verbose, copspace = NULL,
  families = c("indepcop", "bvncop", "bvtcop", "mtcj", "gum", "frk",
  "joe", "bb1", "bskewncop", "bskewncopp"))

`udat`	matrix of PIT score data, in the order of response (V), first predictor (U1), second predictor (U2), linked by V-U1-U2.
`force_ig`	TRUE if you want (U1, V) ~ IG copula.
`method`	Passed to `fit_igcop_mle`.
`xvine`	Copula joining X1 and X2, bundled into a vine object.
`u2cond`	Vector of U2\|U1.
`sc`	Scorer, as in the output of `scorer`
`verbose`	Passed to `cnqr_reduced`
`copspace`	Passed to `cnqr_reduced`. `force_ig` takes precedence.
`families`	Vector of copula family names acting as a "pool" to choose from when fitting.