Middleton et al Modeling craniofacial growth Supplemental Information

Supplemental Information for "Modeling craniofacial growth: Can cross-sectional data approximate true longitudinal growth?" <br> Files included in this archive <br> <strong>README.txt</strong> This file. <br> <strong>CF_functions.R</strong> Miscellaneous functions common to both sets of analyses. This file is loaded by the others. <br> <strong>CF_Growth_Cross_Sectional_Fitter.R</strong> 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> <strong>CF_Growth_Longitudinal_Fitter.R</strong> 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> <strong>longitudinal_model.stan</strong> Stan code for the longitudinal model. Used by CF_Growth_Longitudinal_Fitter.R <br> <strong>xs_model.stan</strong> Stan code for the cross-sectional model. Used by CF_Growth_Cross_Sectional_Fitter.R <br> <strong>XS_Longitudinal_Comparison.Rmd</strong> 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> <strong>Data/DL_Priors.xlsx</strong> Contains the double logistic model priors <br> <strong>Generated_Data</strong> The stan samples for the longitudinal models, with four files per sex/trait (one for each chain). <br> <strong>Generated_Data_XS</strong> 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.