ICBioMark (version 0.1.4)

vis_model_fit: Visualise Generative Model Fit

Description

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.

Usage

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.

Value

Summary plot of the generative model fit across folds.

Examples

# NOT RUN {
p <- vis_model_fit(example_gen_model)

# }