cpit | R Documentation |

Calculates the conditional distribution of the response given the covariates.

```
cpit(object, newdata, cores = 1)
```

`object` |
an object of class |

`newdata` |
matrix of response and covariate values for which to compute the conditional distribution. |

`cores` |
integer; the number of cores to use for computations. |

```
# simulate data
x <- matrix(rnorm(500), 250, 2)
y <- x %*% c(1, -2)
dat <- data.frame(y = y, x = x, z = as.factor(rbinom(250, 2, 0.5)))
# fit vine regression model
fit <- vinereg(y ~ ., dat)
hist(cpit(fit, dat)) # should be approximately uniform
```

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