This utility plots fixed-effect term contributions for a fitted
gamlss.longitudinal object using coefficient uncertainty from
vcov.gamlss.longitudinal().
Usage
plot_fixed_terms(
object,
vcov_obj = NULL,
ci_level = 0.95,
ncol = NULL,
include_intercept = FALSE,
plot_interactions = FALSE,
ci_col = "red",
fit_col = "black",
ci_lty = 2,
fit_lwd = 2,
sort_x = TRUE,
fallback_to_index = TRUE,
setup_mfrow = TRUE,
data = NULL,
factor_pch = 16,
factor_cex = 1.2,
show_legend = TRUE
)Arguments
- object
A fitted
gamlss.longitudinalobject.- vcov_obj
Optional output from
vcov(object, ...). IfNULL, this is computed internally with the analytical vcov path.- ci_level
Confidence level for pointwise intervals.
- ncol
Number of plot columns (defaults to 2 or fewer if needed).
- include_intercept
Logical; include intercept columns in plots.
- plot_interactions
Logical; include interaction columns in plots.
- ci_col
Color for confidence bands.
- fit_col
Color for fitted fixed-term line.
- ci_lty
Line type for confidence bands.
- fit_lwd
Line width for fitted fixed-term line.
- sort_x
Logical; sort x-values before drawing lines.
- fallback_to_index
Logical; if x has one unique value, use index on x-axis.
- setup_mfrow
Logical; if TRUE (default), configure par(mfrow) inside this function. Set FALSE when caller configures layout.
- data
Optional data frame used to detect factor columns and show factor levels on x-axis for categorical fixed terms. Factor terms are grouped into one point-and-interval plot per model term and parameter.
- factor_pch
Point symbol for factor-level estimates.
- factor_cex
Point size for factor-level estimates.
- show_legend
Logical; if TRUE, draw a small legend in each panel.