Actually, I was just using the example data that comes with the package. I decided to use the "Median" method for protein summarization as that is what I had used previously used with MSstats on LFQ data and was familiar with the calculation. As you can see in the attached screenshot, there are no stats values and the issue says "unfittableModel".
library(MSstatsTMT)
quant <- PDtoMSstatsTMTFormat(input = raw.pd, annotation = annotation.pd, which.proteinid = 'Protein.Accessions')
quant.median <- proteinSummarization(quant, method="Median", global_norm=TRUE, reference_norm=TRUE, remove_norm_channel = TRUE, remove_empty_channel = TRUE)
comparison=matrix(c(-1,0,0,1),nrow=1)
row.names(comparison)="1-0.125"
colnames(comparison)= c("0.125", "0.5", "0.667", "1")
test.contrast = groupComparisonTMT(data = quant.median,contrast.matrix = comparison, moderated = TRUE)