Prediction intervals for nlme and gnls models
The main purpose of the package is to provide standard errors for predictions of
simple models fitted by
The main function is
varPredictNlmeGnls using function
Variance of sum of predictions
treating gnls models as special random effects models with zero random effects, i.e accessing fixed (coefficients) and random (none) of gls models:
extracting Variance Covariance matrix of fixed and random effects:
varFixef.lme for both lme and gls models
extracting Standard error of fixed effects: varRanef,
seFixef.lme for both lme and gls models
tree weights in relation to diameter and height:
nlme model fit to the tree weight data:
Thomas Wutzler <[email protected]>
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