Summarize a discourse.object — summary.discourse.object • discourse

Provides a comprehensive summary of a `discourse.object`, including RMSE, model components, and statistics depending on the analysis type (LM/LME, ANOVA, or vec).

Usage

# S3 method for class 'discourse.object'
summary(object, ...)

Arguments

object: A `discourse.object` produced by `optim_*` functions.
...: Additional arguments (unused).

Value

An object of class `summary.discourse.object` containing:

rmse: Named list of RMSE values.
inputs: Original input list.
data: Optimized data frame.
best_error: Numeric. Minimum objective error achieved.
track_error: Numeric vector of best error at each iteration.
track_error_ratio: Numeric vector of error ratios (cor vs. reg) per iteration (if available).
model: Fitted regression model or ANOVA table (if applicable).
coefficients: regression estimates (LM/LME only).
std_errors: Coefficient standard errors (LM/LME only).
correlations: Correlation values (LM/LME only).
F_value: ANOVA F statistics (ANOVA only).
means: Group or variable means.
sds: Group or variable standard deviations (vector only).

Examples

 if (FALSE) { # \dontrun{
res_lm <- optim_lm(args = ..., ...)
summary(res_lm)
} # }