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Wambaugh et al. (2018): Estimating TK Parameters from In Vivo Data

John Wambaugh and Caroline Ring

2025-01-08

To use the code in this vignette, you’ll first need to load a few packages (if you haven’t already).

library(invivoPKfit)

Initialized the Random Number Generator:

TeachingDemos::char2seed("Caroline Ring")

Do the noncompartment model fit

system.time(PK.fit.table.noncomp <- invivoPKfit::fit_all(data.set=pkdataset_nheerlcleaned, model="noncompartment"))

saveRDS(PK.fit.table.noncomp , paste("output/PK_fit_table_noncomp-",Sys.Date(),".rda",sep=""))

Do the 2-compartment model fit

system.time(PK.fit.table.2comp  <- invivoPKfit::fit_all(pkdataset_nheerlcleaned, model="2compartment", modelfun="analytic"))

saveRDS(PK.fit.table.2comp, paste("output/PK_fit_table_2comp-",Sys.Date(),".rda",sep=""))

Plot the 2-compartment concentration vs. time

junk <- plot_conctime(PK.fit.table=PK.fit.table.2comp,
                      data.set=pkdataset_nheerlcleaned,
                      model="2compartment")

Do the 1-compartment model fit

system.time(PK.fit.table.1comp <- invivoPKfit::fit_all(data.set=pkdataset_nheerlcleaned, model="1compartment", modelfun="analytic"))

saveRDS(PK.fit.table.1comp, paste("output/PK_fit_table_1comp-",Sys.Date(),".rda",sep=""))

Plot one compartment concentration vs. time

junk <- plot_conctime(PK.fit.table=PK.fit.table.1comp,
                      data.set=pkdataset_nheerlcleaned,
                      model="1compartment")

Output the dataset analyzed:

write.csv(pkdataset_nheerlcleaned[order(pkdataset_nheerlcleaned$Compound),],"SupTable1.txt",row.names=F)
write.csv(pkdataset_nheerlcleaned[order(pkdataset_nheerlcleaned$Compound),],file=paste("InVivoData-",Sys.Date(),".txt",sep=""),row.names=F)
save(pkdataset_nheerlcleaned,file=paste("PKdata-",Sys.Date(),".RData",sep=""))

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.