summary model fit output

[martinamorris]

Here is what we get now from summary(model.fit)

Call:
tergm(formula = samplist ~ Form(~edges + mutual + cyclicalties + 
    transitiveties) + Diss(~edges + mutual + cyclicalties + transitiveties), 
    estimate = "CMLE", times = c(1:3))

Monte Carlo Conditional Maximum Likelihood Results:

                    Estimate Std. Error MCMC % z value Pr(>|z|)    
Form~edges           -3.4885     0.3584      0  -9.734   <1e-04 ***
Form~mutual           2.0616     0.4069      0   5.067   <1e-04 ***
Form~cyclicalties    -0.1332     0.2097      0  -0.635   0.5254    
Form~transitiveties   0.3993     0.2521      0   1.584   0.1132    
Diss~edges            0.2064     0.3127      0   0.660   0.5093    
Diss~mutual           0.8498     0.5582      0   1.522   0.1279    
Diss~cyclicalties    -0.2134     0.2575      0  -0.829   0.4072    
Diss~transitiveties   0.5137     0.2968      0   1.731   0.0835 .  
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

     Null Deviance: 848.4  on 612  degrees of freedom
 Residual Deviance: 377.2  on 604  degrees of freedom
 
AIC: 393.2  BIC: 428.6  (Smaller is better. MC Std. Err. = 0.6554)

And here is what we used to get from stergm for the same model:

==============================
Summary of formation model fit 
==============================

Formula:   ~edges + mutual + cyclicalties + transitiveties

Iterations:  2 out of 20 

Monte Carlo MLE Results:
               Estimate Std. Error MCMC % z value Pr(>|z|)    
edges           -3.4623     0.3412      0 -10.147   <1e-04 ***
mutual           2.0444     0.4059      0   5.037   <1e-04 ***
cyclicalties    -0.1432     0.1970      0  -0.727   0.4671    
transitiveties   0.3975     0.2353      0   1.689   0.0912 .  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

     Null Deviance: 693.1  on 500  degrees of freedom
 Residual Deviance: 240.0  on 496  degrees of freedom
 
AIC: 248    BIC: 264.9    (Smaller is better.) 

================================
Summary of dissolution model fit
================================

Formula:   ~edges + mutual + cyclicalties + transitiveties

Iterations:  2 out of 20 

Monte Carlo MLE Results:
               Estimate Std. Error MCMC % z value Pr(>|z|)  
edges            0.2080     0.2990      0   0.696   0.4867  
mutual           0.7987     0.5042      0   1.584   0.1131  
cyclicalties    -0.1886     0.2455      0  -0.768   0.4424  
transitiveties   0.5051     0.2794      0   1.808   0.0706 .
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

     Null Deviance: 155.3  on 112  degrees of freedom
 Residual Deviance: 136.8  on 108  degrees of freedom
 
AIC: 144.8    BIC: 155.6    (Smaller is better.) 

As a user, the old format seems a lot easier to parse -- the formulae are easier to read and the organization of the coefficients facilitates comparisons (where they exist). Can we get something like that back?

[krivit]

In principle, it should be possible using some string matching. Is this important for 4.0?

[martinamorris]

No, we have enough on the table. This can go in the next update.