Middleton et al Modeling craniofacial growth Supplemental Information

Supplemental Information for "Cross-sectional data accurately model longitudinal growth in the craniofacial skeleton"<br>Files included in this archive<br><b>README.txt</b>This file.<br><b>CF_functions.R</b>Miscellaneous functions common to both sets of analyses. This file is loaded by the others.<br><b>CF_Growth_Cross_Sectional_Fitter.R</b>R script to fit the cross-sectional model. This file can be executed directly to analyze a single sex/trait combination or via Rscript in a batch.<br><b>CF_Growth_Longitudinal_Fitter.R</b>R script to fit the longitudinal model. This file can be executed directly to analyze a single sex/trait combination or via Rscript in a batch.<br><b>longitudinal_model.stan</b>Stan code for the longitudinal model. Used by CF_Growth_Longitudinal_Fitter.R<br><b>xs_model.stan</b>Stan code for the cross-sectional model. Used by CF_Growth_Cross_Sectional_Fitter.R<br><b>XS_Longitudinal_Comparison.Rmd</b>Rmarkdown file that carries out post-processing on the samples for each of the sex/trait combinations. This file can be rendered using only the outputs saved in Generated_Data and Generated_Data_XS (without re-sampling the models).<br><b>Data/DL_Priors.xlsx</b>Contains the double logistic model priors<br><b>Generated_Data</b>The stan samples for the longitudinal models, with four files per sex/trait (one for each chain).<br><b>Generated_Data_XS</b>The stan samples for the cross-sectional models. To reduce the file count, these files are already saved in Rds format after combining the chains.