Process CBASS-Derived PAM Data

Documentation for package ‘CBASSED50’ version 0.2.0

calculate_eds	Calculate ED5, ED50, and ED95 values for all samples in the dataset.
cbass_dataset	CBASS Dataset
check_enough_unique_temperatures_values	Check if the dataset contains enough unique temperature values
convert_columns	Check and Convert Columns in Dataset
dataset_has_mandatory_columns	Check if the dataset has all mandatory columns
define_grouping_property	Define Grouping Property Column
define_temperature_ranges	Define Temperature Ranges
exploratory_tr_curve	Plot an exploratory temperature response curve.
fit_curve_eds	Fit dose-response models and calculate summary statistics for ED5, ED50, and ED95 values.
fit_drms	Fit Dynamic Regression Models (DRMs)
get_all_eds_by_grouping_property	Get ED5s, ED50s and ED95s by Grouping Property
get_ed50_by_grouping_property	Get ED50 by Grouping Property
get_predicted_pam_values	Get Predicted PAM Values
mandatory_columns	Get the names of mandatory columns for the dataset.
plot_ED50_box	Plot a boxplot of ED50 values for different species and conditions.
plot_model_curve	Plot the model curve with predicted PAM values and confidence intervals.
predict_temperature_values	Predict the temperature values
preprocess_dataset	Preprocesses the data by converting and checking column data types.
process_dataset	Experimental Features for CBASS Dataset Analysis
read_data	Read Data Function
transform_predictions_to_long_dataframe	Transform Predictions to a Long-Format DataFrame
validate_cbass_dataset	Validate CBASS Dataset