Predictions from a fixed-effects CPB fit

Usage

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

Arguments

object: A "cpb_fe" object.
newdata: Optional covariate profiles. A row whose fe column names a unit of the fit enters at that unit's estimated effect (as in score() and ceiling_exceedance()); a row of an unseen unit, or every row when newdata has no fe column, enters at the reference unit, the mean fixed effect of the units whose effect the data identify (see Details of cpb_fe()).
type: "response" (the mean; for a zero-truncated fit the conditional mean E(Y | Y >= 1)), "rate" (the CPB rate lambda), "link" (the log rate), or "ceiling".
offset: Optional offset (log scale) for the newdata rows: a numeric vector or a column name in newdata; by default the fit's own offset column is read from newdata (see predict.cpb()).
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.