Use multiple-try Metropolis to sample z
Corrected bug in sample_eta()
Various code tweaks
Initial value for eta equals sqrt(nfeatures)
Start work for generating multi-group count data; add grid to progress plots
Update mu and phi sequentially
No need for multi-point Metropolis
Use unique deltas when computing their posteriors
Use rn.lognormal when possible
Vectorise sampling of delta
Corrected minor bug in sample_eta_ishwaran
Brought back learning rate for eta; removed ntries/ltries
Use simulated annealing when sampling z
Add manifest and setup files
File re-organisation