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

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Documentation for package ‘gammaFuncModel’ version 4.0

• 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