Hi *,

is there a way to obtain some kind of p-value for a model fitted with RMA
using the lmodel2 package?
I know that p-values are discussed and criticized a lot and as you can image
from my question I'm not
very much of a statistican (only writing my bachelor thesis).

As fare as I understood the confidence interval statistic correctly, a
coefficient is regarded as statistically
significant if the corresponding CI does not include 0 (null hypothesis).
But can I obtain some kind of a
p-value to say that it is highly significant (< 0.01), significant
(0.05),... like in the output of lm?

Sorry for bothering everybody with this, well, probably rather idiotic
question, but I don't know where to
continue from this point...

Thanks,

          Katharina


Here the output of my lmodel2 regression:


Model II regression

Call: lmodel2(formula = log(AGB) ~ log(BM_roots), data = biomass_data,
range.y = "interval", range.x = "interval", nperm = 99)

n = 1969   r = 0.9752432   r-square = 0.9510993
Parametric P-values:   2-tailed = 0    1-tailed = 0
Angle between the two OLS regression lines = 1.433308 degrees

Permutation tests of OLS, MA, RMA slopes: 1-tailed, tail corresponding to
sign
A permutation test of r is equivalent to a permutation test of the OLS slope
P-perm for SMA = NA because the SMA slope cannot be tested

Regression results
  Method Intercept     Slope  Angle (degrees)  P-perm (1-tailed)
1    OLS 0.6122146  1.038792         46.09002               0.01
2     MA 0.5787299  1.066868         46.85300               0.01
3    SMA 0.5807645  1.065162         46.80725                 NA
4    RMA 0.5792123  1.066463         46.84216               0.01

Confidence intervals
  Method  2.5%-Intercept 97.5%-Intercept  2.5%-Slope 97.5%-Slope
1    OLS       0.5779465       0.6464828    1.028376    1.049207
2     MA       0.5659033       0.5914203    1.056227    1.077622
3    SMA       0.5682815       0.5931260    1.054797    1.075628
4    RMA       0.5663916       0.5918989    1.055826    1.077213

Eigenvalues: 19.83213 0.2475542

H statistic used for computing C.I. of MA: 2.502866e-05

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