Function reference • hubUtils

All functions

as_model_out_tbl(): Convert model output to a model_out_tbl class object.

coerce_to_hub_schema() coerce_to_character(): Coerce data.frame/tibble column data types to hub schema data types or character.

connect_hub() connect_model_output(): Connect to model output data.

create_config(): Create a config class object.

create_hub_schema(): Create a Hub arrow schema

create_model_out_submit_tmpl(): Create a model output submission file template

create_model_task(): Create an object of class model_task

create_model_tasks(): Create a model_tasks class object.

create_output_type(): Create an output_type class object.

create_output_type_mean() create_output_type_median(): Create a point estimate output type object of class output_type_item

create_output_type_quantile() create_output_type_cdf() create_output_type_pmf() create_output_type_sample(): Create a distribution output type object of class output_type_item

create_round(): Create an object of class round

create_rounds(): Create a rounds class object.

create_target_metadata(): Create a target_metadata class object.

create_target_metadata_item(): Create an object of class target_metadata_item

create_task_id(): #' Create an object of class task_id

create_task_ids(): Create a task_ids class object.

expand_model_out_val_grid(): Create expanded grid of valid task ID and output type value combinations

get_round_idx() get_round_ids(): Utilities for accessing round ID metadata

get_round_task_id_names(): Get task ID names for a given round

get_schema(): Download a schema

get_schema_url(): Get the json schema download URL for a given config file version

get_schema_valid_versions(): Get a vector of valid schema version

gs_bucket: Connect to a Google Cloud Storage (GCS) bucket

hub_locations_eu: Available European locations

hub_locations_us: Available US locations

load_model_metadata(): Compile hub model metadata

model_id_merge() model_id_split(): Merge/Split model output tbl model_id column

print(<hub_connection>) print(<mod_out_connection>): Print a <hub_connection> or <mod_out_connection> S3 class object

read_config(): Read a hub config file into R

s3_bucket: Connect to an AWS S3 bucket

std_colnames: Hubverse model output standard column names

validate_config(): Validate a hub config file against a Infectious Disease Modeling Hubs schema

validate_hub_config(): Validate Hub config files against Infectious Disease Modeling Hubs schema.

validate_model_metadata_schema(): Validate model-metadata-schema config file

validate_model_out_tbl(): Validate a model_out_tbl object.

view_config_val_errors(): Print a concise and informative version of validation errors table.