I was reading the help but just did not get how to specify starting values for
varIdent() of the lme() function, although I managed to do it for corSymm().
Do I specify the values just as they are printed out in an output, like c(1,
1.3473, 1.0195). Or do I need to take the residual and multiply it with these
like c(0.2235, 0.2235*1.3473, 0.2235*1.0195)
or any other form that I dont know of?
Thanks Toby
Linear mixed-effects model fit by REML
Data: dtaa
AIC BIC logLik
-788.783 -692.5656 409.3915
Random effects:
Formula: ~timef - 1 | orgid
Structure: General positive-definite, Log-Cholesky parametrization
StdDev Corr
timef1 0.04398482 timef1 timef2
timef2 0.07910354 1
timef3 0.03648411 1 1
Residual 0.22350583
Correlation Structure: General
Formula: ~1 | orgid/id
Parameter estimate(s):
Correlation:
1 2
2 0.487
3 0.597 0.440
Variance function:
Structure: Different standard deviations per stratum
Formula: ~1 | time
Parameter estimates:
1 2 3
1.000000 1.347341 1.019529
Fixed effects: score ~ timef - 1
Value Std.Error DF t-value p-value
timef1 -0.3846847 0.007627811 4421 -50.43186 0
timef2 -0.2727646 0.012012786 4421 -22.70619 0
timef3 -0.3961244 0.007180147 4421 -55.16939 0
Correlation:
timef1 timef2
timef2 0.735
timef3 0.746 0.670
Standardized Within-Group Residuals:
Min Q1 Med Q3 Max
-1.4659548 -0.5982929 -0.4096429 0.3101507 4.0911728
Number of Observations: 4515
Number of Groups: 92
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