Plots estimated effect sizes for sample covariates with 95%
credible intervals. Only works if the EpiSewer
model included sample
covariates, see e.g. sample_effects_estimate_matrix()
.
Usage
plot_sample_effects(
results,
facet_models = FALSE,
facet_direction = "rows",
model_levels = NULL
)
Arguments
- results
Results object returned by
EpiSewer()
after model fitting. Can also be a namedlist
with results from different model runs, in which case all results are plotted together and distinguished by colors.- facet_models
Should the plot be faceted by model? Default is
FALSE
.- facet_direction
How should the facetting be done? Either in different "rows" (default) or in different "columns".
- model_levels
A
character
vector with the names of the models to be included. The colors and legend will be ordered according to the order inmodel_levels
.
Value
A ggplot object showing the estimated effect sizes. Can be further manipulated using ggplot2 functions to adjust themes and scales, and to add further geoms.