Package index • assertHE

All functions

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

.called_by(): Called By

.parse_function(): Parse Function

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_files(): source_files

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