Bayesian Multi-State Models for Early Oncology


[Up] [Top]

Documentation for package ‘oncomsm’ version 0.1.4

Help Pages

oncomsm-package The oncomsm package
check_data Check a visits data set for correct format
compute_pfs Compute progression-free-survival rate given sample
create_srpmodel A stable-response-progression model
define_srp_prior A stable-response-progression model
format.srpmodel Print an srpmodel
impute Sample visits from predictive distribution
oncomsm The oncomsm package
parameter_sample_to_tibble Convert parameter sample to data table
plot.srpmodel Summary plot of model prior
plot_mstate Swimmer plot of multi-state data
plot_pfs Plot progression-free-survival function
plot_response_probability Plot the response probability distributions
plot_transition_times Plot the transition times of a model
print.srpmodel Print an srpmodel
sample_posterior Sample parameters from a model
sample_predictive Sample visits from predictive distribution
sample_prior Sample parameters from a model
simulate_decision_rule Simulate results under a custom decision rule
srp-model A stable-response-progression model
srpmodel A stable-response-progression model
visits_to_mstate Convert cross-sectional visit data to multi-state format