[statnet_help] MCMC sampling did not mix at all

[陈博川]

Dear Statnet developer:
Thanks for your time!
I am encountering a problem of my model, which yesterday Prof. Handcock told me to replace ergm with ergm.tepered:
"gw1_help <- ergm.tapered(supnet ~ edges + nodefactor("work") + nodefactor("income") + nodefactor("edu") + nodefactor("religious") + nodefactor("gender") + nodecov("age") + edgecov(sup_loca2_net,"distance") + edgecov(kin_sup,"kinweight") + gwidegree(.1, T) + gwesp(.1, T) + gwdsp(.1, T), control = control.ergm.tapered(MCMC.samplesize = 1e+5, MCMC.burnin = 1e+6, MCMC.interval = 1000, seed = 567), eval.loglik = T, verbose = T)"


I couldn't run this model on my macbookpro ( intel 4-core 16ram), so I put this code on an online platform, which is Chinese version of Colab. I used 8-core 32G CPU to run my code, and it stuck at 48th iteration. I don't know what I should do to make it work. My network isn't very large, which nodes are around 300 and edges are less than 1000. 
After I wrote the first email, the model reported the error says:


"Unconstrained MCMC sampling did not mix at all. Optimization cannot continue"


 and I also put the screenshot in the appendix. Please help me out with this problem! I have been suffered soooo much with this model issue. Thank you so much!
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