plot_ranefDiagnostics {SynergyLMM} | R Documentation |
Plots for random effects diagnostics
Description
Visualization of random effects diagnostics for a fitted linear mixed model of tumor growth data.
Usage
plot_ranefDiagnostics(model)
Arguments
model |
An object of class "lme" representing the linear mixed-effects model fitted by |
Value
A list with different plots for evaluating the normality and homoscedasticity of the random effects, including:
A normal Q-Q plot of the random effects of the model.
A normal Q-Q plot of the residuals by sample.
Boxplots of the "raw" residuals (observed - fitted) by sample.
Scatter plots of the normalized residuals (standardized residuals pre-multiplied by the inverse square-root factor of the estimated error correlation matrix, see nlme::residuals.lme) vs fitted values by sample. Observations with absolute standardized (normalized) residuals greater than the
1-0.05/2
quantile of the standard normal distribution are identified in the plots labelled with the time point corresponding to the observation.
Examples
data(grwth_data)
# Fit the model
lmm <- lmmModel(
data = grwth_data,
sample_id = "subject",
time = "Time",
treatment = "Treatment",
tumor_vol = "TumorVolume",
trt_control = "Control",
drug_a = "DrugA",
drug_b = "DrugB",
combination = "Combination",
show_plot = FALSE
)
# Generate plots
plot_ranefDiagnostics(lmm)
# Access to specific plots
plot_ranefDiagnostics(lmm)[[1]]
plot_ranefDiagnostics(lmm)[[2]]