Beschreibung:
- Coherent and unified treatment of nonlinear regression with R.
Is unique because it approaches non-linear regression modeling through the functionality available in R,
Introduction. - Getting started. - Starting values and self starters. - More on nls (). - Model diagnostics. - Remedies for model variations. - Uncertainty, hypothesis testing and model selection. - Grouped data. - Appendix A: Datasets and models. - Appendix B: Self starter functions. - Appendix C: Packages and functions. - References. - Index.
This book provides a coherent and unified treatment of nonlinear regression with R by means of examples from a diversity of applied sciences such as biology, chemistry, engineering, medicine and toxicology. Numerous other related issues are covered too.