You can try bootstrap package boot it will build you confidence interval based on re-sampling
Finding confidence intervals in R with modFit (FME)
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06-03-2022 - |
Domanda
I've been using modFit (part of the R package, FME) on a recent project. I am interested in obtaining confidence intervals for the model predicted parameters, but I cannot figure out how to do so. When I look at the summary from the modFit routine, I am given the standard error and t-value for each parameter. I am also given a parameter correlation table.
How can I extract a confidence interval for the parameters with this information? I feel like I'm over-complicating the task, but I am just stuck. Any help would be greatly appreciated.
This is this summary information I have to work with (I hope it doesn't just add more confusion to my question, so disregard if need be):
Parameters:
Estimate Std. Error t value Pr(>|t|)
Mb1 1.7022419 0.0022914 742.89 <2e-16 ***
M1b 2.0015269 0.0024875 804.64 <2e-16 ***
Mb2 0.4998066 0.0015215 328.50 <2e-16 ***
M2b 0.5079805 0.0011033 460.43 <2e-16 ***
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 0.07965 on 67 degrees of freedom
Parameter correlation:
Mb1 M1b Mb2 M2b
Mb1 1.000000 0.8377 -0.6335 0.006307
M1b 0.837665 1.0000 -0.6208 -0.163344
Mb2 -0.633522 -0.6208 1.0000 0.529634
M2b 0.006307 -0.1633 0.5296 1.000000
Soluzione
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