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All functions

connect_flemish_source()
Make an ODBC connection to the Flemish source data
datasource_id_flanders()
Get the id of the data source for the Flemish source data
datasource_id_raw()
Get the id of the data source for the raw data
datasource_id_result()
Get the id of the data source for the raw data
datasource_id_wallonia()
Get the id of the data source for the Walloon source data
import_walloon_source_data()
Add the raw data from Wallonia to the git repository
prepare_analysis()
Prepare all datasets and a to do list of models
prepare_analysis_agg_max()
Create aggregation objects for imputed counts
prepare_analysis_aggregate()
Create aggregation objects for imputed counts
prepare_analysis_aggregate_ni()
Create aggregation objects for imputed counts while ignoring the missing data
prepare_analysis_imputation()
Create the analysis dataset based on the available raw data
prepare_analysis_index()
Generate the models to apply on the aggregated sets
prepare_analysis_smoother()
Fit a smoother to an aggregated set
prepare_dataset()
Prepare the raw datasets and save them to the git repository
prepare_dataset_location()
Read the locations for the raw data source, save them to the git repository and the results database
prepare_dataset_observation()
Read the observations for the raw data source, save them to the git repository and the results database
prepare_dataset_species()
Read the species for the raw data source, save them to the results database
read_location()
read the dataset of locations from the database
read_observation()
Read the Flemish observations from a species
read_observation_wallonia()
Read the Walloon observations from a species
read_specieslist()
Read the relevant species list
scheme_id()
Get the id of the scheme
select_relevant_analysis()
Select the relevant observations when making the analysis dataset
select_relevant_import()
Select the relevant observations when importing the raw data