blmod_splines: Blood Model: Splines

In mathesong/kinfitr: Kinetic Modelling of PET Time Activity Curves

Blood Model: Splines

Description

Fits two or three (if both discrete and continuous) splines to blood or AIF data to smooth it

Usage

blmod_splines(
  time,
  activity,
  Method = NULL,
  weights = NULL,
  bs_before = "cr",
  bs_after_c = "cr",
  bs_after_d = "cr",
  k_before = -1,
  k_after_c = -1,
  k_after_d = -1
)

Arguments

time	The time of each measurement in seconds
activity	The radioactivity of each measurement
Method	Optional. The method of collection, i.e. "Discrete" or "Continuous"
weights	Optional. Weights of each measurement.
bs_before	Optional. Defines the basis function for the points before the peak.
bs_after_c	Optional. Defines the basis function for the continuous points after the peak.
bs_after_d	Optional. Defines the basis function for the discrete points after the peak.
k_before	Optional. Defines the dimension of the basis for the points before the peak.
k_after_c	Optional. Defines the dimension of the basis for the continuous points after the peak.
k_after_d	Optional. Defines the dimension of the basis for the discrete points after the peak.

Value

A model fit including all of the individual models of class blood_splines.

Examples

blooddata <- pbr28$blooddata[[1]]
blooddata <- bd_blood_dispcor(blooddata)
blood <- bd_extract(blooddata, output = "Blood")
blood_fit <- blmod_splines(blood$time,
                           blood$activity,
                           Method = blood$Method)

mathesong/kinfitr documentation built on Jan. 15, 2024, 11:07 p.m.