[R] lme: anova vs. intervals

[Martin Henry H. Stevens]

Windows 2000 (v.5.00.2195), R 1.5.1
I have an lme object, fm0, which I examine with anova() and intervals().
The anova output indicates one of the interaction terms is significant, but 
the intervals output shows that the single parameter for that term includes 
0.0 in its 95% CI. I believe that the anova is a conditional (sequential) 
test; is intervals marginal or approximate? Which should I trust as more 
accurate or, alternaitvely, more conservative?
Partial output follows.
Thanks for the insight.
Hank

 > anova(fm0)
                          numDF denDF  F-value p-value
(Intercept)                  1    69 6331.902  <.0001
Fert                         3    44   42.176  <.0001
Seed                         1    44    0.488  0.4886
Litter                       1    69    1.830  0.1805
Density                      1    69   68.714  <.0001
Fert:Seed                    3    44    0.061  0.9799
Fert:Litter                  3    69    0.294  0.8294
Fert:Density                 3    69    0.381  0.7667
Seed:Litter                  1    69    0.005  0.9447
Seed:Density                 1    69    0.449  0.5048
Litter:Density               1    69    0.141  0.7087
Fert:Seed:Litter             3    69    0.256  0.8565
Fert:Seed:Density            3    69    4.254  0.0081
Fert:Litter:Density          3    69    1.814  0.1527
Seed:Litter:Density          1    69    4.083  0.0472
Fert:Seed:Litter:Density     3    69    1.047  0.3773

 > intervals(fm0)$fixed
                                   lower        est.       upper
(Intercept)                   2.8880007  3.25040348  3.61280623
...
Density                       0.1076366  0.41670852  0.72578044
...
SeedC:LitterR:Density        -0.4803310  0.06412348  0.60857794




Martin Henry H. Stevens, Assistant Professor
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Miami University
Oxford, OH 45056

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