batch_tm: Calculate one or more models for a batch of participants

In ropensci/tacmagic: Positron Emission Tomography Time-Activity Curve Analysis

Description

For a list of tac data (from load_batch) this calculates specified models and saves in a tidy data.frame. Current model options are "SUVR", "Logan".

Usage

batch_tm(all_tacs, models, custom_model = NULL, ...)

Arguments

all_tacs	A list by participant, of tac data (load_batch())
models	A vector of names of the models to calculate
custom_model	A function that can be run like other models (advanced)
...	The arguments that get passed to the specified models/custom model, many are required; please check with model desired.

Details

For further details about how the models are calculated, see the individual functions that they rely on. "SUVR" uses suvr(), "Logan" uses DVR_all_ref_Logan().

Value

A table of SUVR values for the specified ROIs for all participants

See Also

Other Batch functions: batch_load, batch_voistat

Examples

participants <- c(system.file("extdata", "AD06.tac", package="tacmagic"),
                  system.file("extdata", "AD07.tac", package="tacmagic"),
                  system.file("extdata", "AD08.tac", package="tacmagic"))

tacs <- batch_load(participants, tac_file_suffix="")

# Keeps only the ROIs without partial-volume correction (PMOD convention)
tacs <- lapply(tacs, split_pvc, FALSE)

batch <- batch_tm(tacs, models=c("SUVR", "Logan"), ref="Cerebellum_r",
                  SUVR_def=c(3000,3300,3600), k2prime=0.2, t_star=23)

ropensci/tacmagic documentation built on Feb. 11, 2020, 9:34 p.m.