Produce a Forest Plot of Linear Covariates from a `GHRmodels` Object

Description

This function extracts fixed-effect coefficients from a specified model in models, filters them by name or interaction pattern, and produces a forest plot (point estimates with error bars).

If name = NULL, all fixed-effect terms (excluding the intercept) are shown.
If name is a character vector, only the matching terms are included.

plot_coef_lin(
  models,
  mod_id = NULL,
  name = NULL,
  pattern = NULL,
  title = NULL,
  mod_label = NULL,
  var_label = NULL,
  palette = "IDE2",
  exp = FALSE,
  legend = "Model"
)

Arguments

models: An object of class GHRmodels containing fitted model output.
mod_id: Character vector of model identifiers (must match entries in model$mod_gof$model_id). If NULL (the default), all models are considered.
name: A character vector specifying exact linear covariates names to be plotted. If both pattern and name are NULL (the default), all terms (except (Intercept)) are plotted.
pattern: A character vector specifying prefix(es) to match (e.g., “tmin” matches “tmin”, “tmin.l1”, etc.) Covariates matching these patterns (case‐insensitive search) will be plotted. If both pattern and name are NULL (the default), all terms (except (Intercept)) are plotted.
title: An optional string specifying an overall plot title.
mod_label: An optional named character vector mapping model names to custom labels, e.g. c(“mod1” = “Model 1”). Any model not found in the vector names retains its original label.
var_label: An optional named character vector mapping variable (or interaction) names to custom labels. Interaction matching is order-insensitive: "A:B" matches "B:A". Any term not found in the vector names retains its original label.
palette: GHR, RColorBrewer or colorspace palette (e.g. “Purp”) colour palette to use for the different models. See all available options by running GHR_palettes(), RColorBrewer::display.brewer.all() and colorspace::hcl_palettes(plot=TRUE). Single R colors in colors() or hex codes can also be used.
exp: Logical,if TRUE the coefficients are exponentiated, Default is if FALSE.
legend: Legend title for the replicate color scale. Default is "Model".

Details

Intercept: By default, (Intercept) is excluded unless explicitly included in name.
Individual terms: e.g., "temp".
Interaction Terms: e.g. "temp:precip". Split by :, sorted, and compared setwise; for example, "temp:precip" matches "precip:temp".
Labels: If var_label is supplied, any matched covariate or interaction string is replaced by its custom label on the y-axis.

Returns

A ggplot2 forest plot object (class ggplot).

Examples

# Load example GHRmodels object from the package: 
model_list_file <- system.file("examples", "model_list.rds", package = "GHRmodel")
model_list <- readRDS(model_list_file)

# Plot point estimates with confidence intervals for the linear covariates: 
plot_coef_lin(
model = model_list,
mod_id = c("mod2","mod4"),
var_label = c("tmin.l1"= "Min. temp lag 1",
              "pdsi.l1" = "Drought index lag 1"),
title = "Effects of linear covariates"
)

Produce a Forest Plot of Linear Covariates from a GHRmodels Object