perf_model: Variable dose-response modeling

In fimbach/sysmod: System model package for sport performance modelling

Description

The function models the performance according to Busso Variable dose-response model \(Busso, 2003\) and based on previously defined parameters.

Usage

perf_model(data, P0, k1, k3, tau1, tau2, tau3, vars, target)

Arguments

data	A data frame object that contains at least training loads, performances and time between two consecutive sessions.
P0	The basic level of performance.
k1	The gain term for adaptations response.
k3	The gain term for fatigue response.
tau1	The time constant of the adaptations exponential decrease.
tau2	The time constant of fatigue exponential decrease.
tau3	The time constant of the fatigue remanence exponential decrease.
vars	A list that contains input (i.e. session training loads) and time (i.e. the time between two consecutive inputs) numerical vectors.
target	A character vector that indicates the performances column name.

Value

a vector of numerical values

Author(s)

Frank Imbach [e-mail]

Examples

perf_model(data = example_data, P0 = 10, k1 = 0.1, k3 = 0.01, tau1 = 40, tau2 = 20, tau3 = 5, vars = list("input" = example_data$training_load, "time" = example_data$rest),
target = "perf")

fimbach/sysmod documentation built on Jan. 1, 2021, 1:21 a.m.