vis_model_fit function

Visualise Generative Model Fit

A function to visualise how well a general model has fitted to a mutation dataset across cross-validation folds. Designed to produce a similar output to glmnet's function plot.cv.glmnet.

vis_model_fit(
  gen_model,
  x_sparsity = FALSE,
  y_sparsity = FALSE,
  mut_type = NULL
)

Arguments

• gen_model: (list) A generative model fitted by fit_gen_model()
• x_sparsity: Show model sparsity on x axis rather than lambda.
• y_sparsity: Show model sparsity on y axis rather than deviance.
• mut_type: Produce separate plots for each mutation type.

Returns

Summary plot of the generative model fit across folds.

Examples

p <- vis_model_fit(example_gen_model)