You will find here
the list of the functions which are illustrated by an example
of application
in the book by
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 |
Creation: 2003 -