cus_result_gen: Generate Customized Predicted Quantiles List

In ComBatFamQC: Comprehensive Batch Effect Diagnostics and Harmonization

Generate Customized Predicted Quantiles List

Description

This function computes customized predicted quantiles for a specified feature across both female and male groups using a GAMLSS model. The resulting list object is structured for visualization purposes.

Usage

cus_result_gen(age_list, customized_q = 0.75, f)

Arguments

age_list	A list containing all ROIs' true volumes, age trend estimates, and the fitted GAMLSS model.
customized_q	A numeric value between 0 and 1 representing the quantile to predict (e.g., 0.75 for the 75th percentile).
f	A string specifying the feature of interest within the age_list.

Details

This function utilizes the GAMLSS model to compute predictions for the specified quantile across demographic groups. The results include predictions for both the specified quantile and the median, enabling enhanced visualization.

Value

A list containing the customized quantile value used for predictions and a data frame with columns for age, quantile type, prediction, and sex.

Examples

sub_df <- age_df[,c("Volume_1", "age", "sex", "ICV_baseline")] |> na.omit()
colnames(sub_df) <- c("Volume_1", "age", "sex", "icv")
age_list <- list("Volume_1" = age_list_gen(sub_df = sub_df))
cus_result_gen(age_list, customized_q = 0.75, f = "Volume_1")

ComBatFamQC documentation built on April 4, 2025, 12:24 a.m.