R: Non-Linear Mixed Effects Model Based on the Gamma Function Form

# Non-Linear Mixed Effects Model Based on the Gamma Function Form

## Documentation for package ‘gammaFuncModel’ version 6.0

- DESCRIPTION file

## Help Pages

calculate_AUC | Function that produces Area Under the Curve(AUC) property for a single individual in a particular group, for a specific metabolite
calculate_Cmax | Function that produces Cmax property for a single individual in a particular group, for a specific metabolite
calculate_half_life | Function that produces Half-life property for a single individual in a particular group, for a specific metabolite
calculate_Tmax | Function that produces Tmax property for a single individual in a particular group, for a specific metabolite
diffGrpResponse | Function that produces a summary table for coefficient estimates, their p-values and LRT p-values for every metabolite in the dataframe
diffGrpResponse_parallel | Parallelized version of diffGrpResponse()
gammaFunction | Implementation of the novel non-linear mixed-effects model based on gamma function form with nested covariance structure where random effects are specified for each Diet level within each subject (ID), capturing within-subject correlation across dietary conditions. to identify metabolites that responds to time differentially across dietary groups
generatePlot | Function that generate plots for metabolite models
generate_f_function | Function produce predictions from the model
generate_models | Function that produces a fitted gamma model for each metabolite
grpResp2Time | Function that produces a summary table for coefficient estimates, their p-values and LRT p-values for every metabolite in the dataframe, for a single Group
grpResp2Time_parallel | Vectorized version of grpRes2Time()
pk_calculation | Function that returns a data frame for Tmax, Cmax, half-life, AUC and AUCInf for metabolites