Package: rTPC 1.1.0

A brief example of how many curves can be bootstrapped when fitting models to TPCs using rTPC, nls.multstart, car and the tidyverse. | Things to consider | The problem | The solution | Further reading

A brief example of how bootstrapping can help visualise and estimate model uncertainty when fitting models to TPCs using rTPC, nls.multstart, car and the tidyverse. | Things to consider | Case resampling: Resampling the original data with replacement | Residual resampling | Calculating confidence intervals of estimated and calculated parameters | Further reading

A brief example of how bootstrapping can be implemented alongside model weighting to account for model uncertainty alongside measurement uncertainty. | Things to consider | Method 1: Case resampling weighted non-linear regression. | Method 2: Residual resampling weighted non-linear regression. | Calculating confidence intervals of estimated and calculated parameters | Further reading

First steps | Forking the repository | Setting up your workspace and R installation | Adding a model | Model equation | Implementation | Model function - eubank_1973() | Starting values - eubank_1973.starting_vals() | Limits - eubank_1973.lower_lims() & eubank_1973.upper_lims() | Documentation | Updating the model database | Testing model implementation | Individual model test | Getting results values | Testing | Documenting your model | Commiting your changes back upstream | Done! | Auxiliary model function dispatch

A brief example of how to parallelise fitting many models to many TPCs using rTPC, nls.multstart the tidyverse, and mirai. | Things to consider | quickfit_tpc_multi() without parallelisation | quickfit_tpc_multi() with parallelisation | Custom rTPC parallelisation

A brief example of how to fit many models to multiple TPCs using rTPC, nls.multstart and the tidyverse. | Things to consider

A brief example of how multiple models can be fitted to a single TPC using rTPC, nls.multstart, and the tidyverse. | Things to consider | Troubleshooting curve fits

An introduction to rTPC and how it can be used to fit thermal performance curves using nls.multstart.

A brief example using model selection or model averaging when fitting multiple models to a single TPC using rTPC, nls.multstart, and the tidyverse. | Things to consider | Model selection | Model averaging | Further reading

A brief example of how model weighting can be used to help account for measurement uncertainty when fitting models to TPCs using rTPC, nls.multstart, and the tidyverse. | Things to consider | Using model weights