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Calculate one or more models for a batch of participants

Source: R/batches.R
batch_tm.Rd

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.

Value

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

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().

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)