-Illustrated functions of nls2


You will find here the list of the functions which are illustrated by an example of application in the book by S. Huet, and all., or in one of the example-files in the demo directory of the package nls2.

See also the list sorted by example-names.


Fonctions Chapters Examples
bootstrap 2.6: Accuracy of estimators, confidence intervals and tests, elisa, isomer, pasture
3.6: Variance estimation, tiller
5.6: Calibration and Prediction, nasturnium, pasture
6.7: Binomial non-linear models orobranche
  mag
calcmodnls2   perm, simul, substrat, volterra
calib 5.6: Calibration and Prediction corti, nasturnium
confidence 2.6: Accuracy of estimators, confidence intervals and tests, corti, elisa, isomer, pasture
3.6: Variance estimation, pept, tiller
4.6: Diagnostics of model misspecification, sim
5.6: Calibration and Prediction, pasture
6.7: Binomial non-linear models, fbeetles, insect
7.1.8: Multinomial non-linear models cheese, miners
conflike 3.6: Variance estimation elisa, pept, tiller
ellips 2.6: Accuracy of estimators, confidence intervals and tests isomer, ovo
iso 2.6: Accuracy of estimators, confidence intervals and tests isomer, ovo
nls2 1.6: Nonlinear regression model and parameter estimation, corti, elisa, isomer, ovo, pasture
2.6: Accuracy of estimators, confidence intervals and tests, elisa, isomer, pasture
3.6: Variance estimation, pept, tiller
4.6: Diagnostics of model misspecification corti, pasture, pept, root, sim
5.6: Calibration and Prediction, nasturnium
6.7: Binomial non-linear models beetles, fbeetles, insect, orobranche, vaso
7.1.8: Multinomial non-linear models cheese, miners
  ej, mag, ownmethod, perm, pg, simul, substrat, volterra, weibull
pldnls2 1.6: Nonlinear regression model and parameter estimation, elisa, pasture
3.6: Variance estimation, pept
4.6: Diagnostics of model misspecification root
  pg
plfit 1.6: Nonlinear regression model and parameter estimation , isomer, ovo, pasture
2.6: Accuracy of estimators, confidence intervals and tests, elisa
3.6: Variance estimation, pept
4.6: Diagnostics of model misspecification isomer, pasture, root, sim
  pg
plit   pg
plres 3.6: Variance estimation, pept
4.6: Diagnostics of model misspecification corti, isomer, ovo, root
 pg
plvar 4.6: Diagnostics of model misspecification corti, ovo
renls2   mag
rexnls2   weibull
wald 2.6: Accuracy of estimators, confidence intervals and tests elisa

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