Visualisation and Verification of Health Economic Decision Models

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Documentation for package ‘assertHE’ version 1.0.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

.called_by	Called By
.parse_function	Parse Function
assertHE_example	Get path to assertHE example
check_init	Check and initialize a vector
check_markov_trace	Check Markov Trace
check_trans_prob_array	Check Transition Probability Array
check_trans_prob_mat	Check Transition Probability Matrix
create_prompt	Create a prompt for a LLM
define_app_server	Create Shiny app server logic
define_app_ui	Create Shiny app UI
extract_function_name	Extract function name from a string
find_files	find_files
find_folder_function_definitions	Creates summary of R files in folder with functions defined within and locations.
find_function_calls_in_file	Find all function calls in file
find_function_calls_in_folder	Find specific function calls in a folder
find_function_definitions	Parses an R source file, returns function names defined within.
find_next_vector_element	Find the next element of the vector after a value
find_previous_vector_element	Find the previous element of the vector before a value
get_active_functions	get all active functions that exist in the global environment
get_file_cheers_classifications	Get cheers classification tags from a given file
get_folder_cheers_classifications	Get cheers classification tags from a given folder
get_foo_coverage	Get coverage by function
get_function_data	Retrieve Function data to a list
get_function_line	Extract function line in file path
get_function_path	Remove artefacts from file path
get_isolated_foo	Get Isolated Functions
get_roxygen_description	Get Title and Description from Parsed List
get_roxygen_description_from_foo	Get roxygen title and description from function
identify_dependencies	Identify Dependencies
locate_funcs	locate_funcs
make_closable_tab	Create closable shiny tab
plotNetwork	Plot Network
plot_PSA_stability	Plot cumulative mean Probabilistic Sensitivity Analysis results
processNodes	Process Nodes
return_message	Extract the content from the output of the LLM
run_shiny_app	Run a Shiny app to host a network visualization
source_funcs	source_funcs
source_lines	source_lines
summarise_function_from_arguments_and_body	Summarise a function from its arguments and body
summarise_function_with_LLM	Summarize a function using a Large Language Model
summarise_model	Summarise the model functions in a single folder.
visualise_project	Visualize Project
wrap_string	Wrap a string to lines of a specified width