New preprint from me @PawarLab and @hjosullivan123 on fitting thermal performance curves in R. We created an R package to fit 24 different TPC model formulations. This is the R package I wished existed at the start of my PhD... bit.ly/2WoDc0x 
Models are fit using nonlinear least squares regression and instead of creating new pipelines, we harness the power of the #tidyverse to multiple models to multiple TPCs at same time. This makes our code more useable across workflows if you don't want to use the whole workflow...
The R package rTPC also contains helper functions such as get_start_vals() to estimate start parameters for a given model and calc_params() to calculate loads of parameters that are useful from a model fit...
We have also written example extensions to the pipeline that include model averaging, model selection, incorporating model weights, and bootstrapping...
And there are vignettes documenting all of this on the website for rTPC that we made with pkgdown. The inspiration for this website was from Field of Dreams: "Build it, and they will come". padpadpadpad.github.io/rTPC/
Anyways hope it proves useful to all types of ecologists and biologists. And had hope you like the preprint. #thermalecology #tpcs #rstats #ecology #preprint
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