make_trend: Predict data for certain trend

In HOPE-UIB-BIO/R-Ratepol-package: R-Ratepol: Estimating Rate of Change in Temporal Sequences

Predict data for certain trend

Description

Predict data for certain trend

Usage

make_trend(data_source, sel_method = c("linear", "non_linear"))

Arguments

data_source	Data.frame with ROC and Age
sel_method	Which trend should be used: "linear" - A linear model is fitted between the RoC values and their ages. "non_linear" - A conservative generalised additive model (GAM) is fitted through the RoC scores and their ages (GAM = RoC ~ s(age, k = 3) using the mgcv package (Wood, 2011).

See Also

detect_peak_points()

HOPE-UIB-BIO/R-Ratepol-package documentation built on March 6, 2024, 7:10 a.m.