predict_temperature_values: Predict the temperature values

In CBASSED50: Process CBASS-Derived PAM Data

Predict the temperature values

Description

This function takes a list of models and generates a sequence of temperature values that span the range of input temperatures.

Usage

predict_temperature_values(models, temp_range)

Arguments

models	A list of models where each element represents a model object containing coefficients.
temp_range	the temperature range to be used for predictions from the function define_temperature_ranges

Value

A data frame containing the predicted PAM values for each temperature along with their corresponding grouping property. Each row represents a model's predicted PAM value and its associated grouping property and confidence interval.

Examples

data(cbass_dataset)
preprocessed_data <- preprocess_dataset(cbass_dataset)

models <- fit_drms(preprocessed_data,
                 c("Site", "Condition", "Species", "Timepoint"),
                   "Pam_value ~ Temperature", is_curveid = TRUE)
temp_ranges <- define_temperature_ranges(cbass_dataset$Temperature, n = 100)
predict_temperature_values(models, temp_ranges)

CBASSED50 documentation built on June 8, 2025, 10:27 a.m.