R: Process CBASS-Derived PAM Data

# Process CBASS-Derived PAM Data

## Documentation for package ‘CBASSED50’ version 0.2.0

- DESCRIPTION file.

## Help Pages

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