Fitted values for clmstan objects

Returns expected category probabilities for each observation. This is equivalent to predict(object, type = "probs", summary = TRUE).

Usage

# S3 method for class 'clmstan'
fitted(
  object,
  newdata = NULL,
  summary = TRUE,
  robust = FALSE,
  probs = c(0.025, 0.975),
  ndraws = NULL,
  ...
)

Arguments

object: A clmstan object returned by clm_stan().
newdata: Optional data frame for prediction. If NULL (default), predictions are made for the original training data.
summary: Logical. If TRUE (default), return summary statistics (mean, SD, quantiles). If FALSE, return raw posterior draws.
robust: Logical. If TRUE, use median instead of mean for point estimates. Default is FALSE.
probs: Numeric vector of probabilities for quantiles. Default is c(0.025, 0.975) for 95% credible intervals.
ndraws: Number of posterior draws to use. If NULL (default), all available draws are used.
...: Additional arguments (currently ignored).

Value

If summary = TRUE (default): A data frame with N rows and columns for each category probability (P[Y=1], P[Y=2], etc.). If summary = FALSE: An S x N x K array of probability draws.

Usage

Arguments

Value

See also