twNlme-package: Prediction intervals for nlme and gnls models
In twNlme: Standard errors for basic nlme and gnls model predictions

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 nlme or gnls.

The main function is varPredictNlmeGnls using function attachVarPrep.

Further functionality of package twNlme includes

Variance of sum of predictions varSumPredictNlmeGnls
treating gnls models as special random effects models with zero random effects, i.e accessing fixed (coefficients) and random (none) of gls models: fixef.gls, ranef.gls
extracting Variance Covariance matrix of fixed and random effects: varRanef.lme, varFixef.lme for both lme and gls models
extracting Standard error of fixed effects: varRanef, seFixef.lme for both lme and gls models