Predictions from a matched count-family fit

Usage

# S3 method for class 'count_reg'
predict(
  object,
  newdata = NULL,
  type = c("response", "link", "prob"),
  at = NULL,
  offset = NULL,
  se.fit = FALSE,
  interval = c("none", "confidence"),
  level = 0.95,
  ...
)

Arguments

object: A "count_reg" object.
newdata: Optional data frame of covariate profiles.
type: "response" (the mean E(Y); for a zero-truncated fit the conditional mean E(Y | Y > 0)), "link" (the linear predictor), or "prob" (P(Y = at); for a zero-truncated fit this is P(Y = at | Y > 0)).
at: Count value for type = "prob".
offset: Optional offset (log scale) for newdata: a numeric vector or a column name in newdata.
se.fit, interval, level: Standard errors (se.fit = TRUE) and a level confidence interval (interval = "confidence") of the predicted quantity at the rows of newdata; see predict.cpb().
...: Unused.

Value

A numeric vector. With interval = "confidence", a matrix with columns fit, lwr and upr; with se.fit = TRUE, a list of fit (the vector or the matrix), se.fit and method (each row's interval source). Without se.fit, the source is the attribute method.