[Rsiena-help] Some parameters are lack of convergence t-ratio
Shupin Li
shupli at utu.fi
Wed Oct 14 08:48:12 CEST 2015
Dear folks,
I have data of a 20 people network in 5 time waves and their gender. I wanted to specify models for dynamics of networks with some basic network effects and gender homophily. I used below commands, but some parameters (rate parameters) are lack of convergence t-ratio in the outcome (though the overall maximum convergence ratio looked nice).
Why don't I have convergence t-ratios for those rate parameters? How shall I solve this problem?
> myCoEvolutionEff <- includeEffects( myCoEvolutionEff, transTrip, cycle3)
> myCoEvolutionEff <- includeEffects( myCoEvolutionEff, simX, interaction1 = "gender" )
> myCoEvAlgorithm <- sienaAlgorithmCreate( projname = 'CoEv_5' ) # define the algorithm settings
> betterCoEvAlgorithm <- sienaAlgorithmCreate( projname = 'CoEv_5', diagonalize = 0.2, doubleAveraging = 0)
> (ans <- siena07( betterCoEvAlgorithm, data = myCoEvolutionData, effects = myCoEvolutionEff ))
> ans
Estimates, standard errors and convergence t-ratios
Estimate Standard Convergence
Error t-ratio
Rate parameters:
0.1 Rate parameter period 1 6.1412 ( 1.2194 )
0.2 Rate parameter period 2 5.4820 ( 1.1153 )
0.3 Rate parameter period 3 4.2816 ( 0.8480 )
0.4 Rate parameter period 4 3.2814 ( 0.6573 )
Other parameters:
1. eval outdegree (density) -1.0531 ( 0.2341 ) -0.0327
2. eval reciprocity 0.7823 ( 0.1933 ) -0.0414
3. eval transitive triplets 0.1559 ( 0.0223 ) -0.0400
4. eval 3-cycles -0.1406 ( 0.0411 ) -0.0349
5. eval gender similarity 0.9369 ( 0.1561 ) -0.0906
Overall maximum convergence ratio: 0.1234
Total of 2249 iteration steps.
Any hints are appreciated highly. Thanks a lot in advance!
Best,
Shupin
More information about the Rsiena-help
mailing list