Reference

Data Example datasets
juncus	Thermogravimetric data for Juncus amabilis
marsilea	Thermogravimetric data for Marsilea drumondii
Key basic use functions
process()	Calculates the derivative rate of mass loss of thermogravimetric data
deconvolve()	Deconvolves Thermogravimetric Data
Accessor functions Used to access the outpus of basic use functions
temp_bounds()	Accessor function to extract selected temperature bounds
rate_data()	Accessor function to extract processed dataframe
model_fit()	Accessor function to extract model fit
component_weights()	Accessor function to extract mean weights
model_parameters()	Accessor function to extract model parameters
Fraser-Suzuki equation functions Used to customise plotting methods
fs_function()	Fraser-Suzuki function for a single curve
fs_mixture()	Fraser-Suzuki mixture model
S3 methods Default print and plot methods
print(<process>)	Default S3 print method for process object (derived from `process()`)
plot(<process>)	Default S3 plot method for process objects (derived from `process()`)
print(<decon>)	Default S3 print method for decon object (derived from `deconvolve()`)
plot(<decon>)	Default S3 plot method for decon objects (derived from `deconvolve()`)
Internals Internal functions and helpers
inflection()	Function to determine x-value of peak < 500 K
fs_model()	Non-linear model using Fraser-Suzuki mixture model
get_weights()	Calculate weight quantiles
objective()	This function evaluates root mean squared error of a model
param_select()	Optimise parameters
rmse()	Calculate room mean squared error
three_peaks()	Function to convert inflection point to logical argument for presence of fourth peak
weight_quantiles()	Calculate weight quantiles
wt_component()	Calculate weight single component