Commit 3c337ab2 authored by francois's avatar francois
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Update README.md

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......@@ -25,7 +25,7 @@ The `spaMM` package was developed first to fit mixed-effect models with spatial
- Allowed response families include zero-truncated variants of the Poisson, two negative binomial families, beta response family, and the Conway-Maxwell-Poisson (`COMPoisson`) family;
- All the above features combined in multivariate-response models. Previously, more experimental facilities have been available for handling multinomial data only;
- A replacement function for `glm`, useful when the latter (or even `glm2`) fails to fit a model;
- A syntax close to that of `glm` or [`g`]`lmer`. It includes a growing list of extractor methods similar to those in `stats` or `nlme`/`lmer`, and functions for inference beyond the fits, such as `confint()` for confidence intervals of fixed-effect parameters, `predict()` and related functions for point prediction and prediction variances, and compatibility with functions from other packages such as `multcomp::glht()` and `lmerTest` procedures providing F tests using Satterthwaite method (see `post-fit` and `anova` documentation items);
- A syntax close to that of `glm` or [`g`]`lmer`. It includes a growing list of extractor methods similar to those in `stats` or `nlme`/`lmer`, and functions for inference beyond the fits, such as `confint()` for confidence intervals of fixed-effect parameters, `predict()` and related functions for point prediction and prediction variances, and compatibility with functions from other packages such as `multcomp::glht()` and `lmerTest` procedures providing F tests using Satterthwaite method (see `` `post-fit` `` and `anova` documentation items);
- Simple facilities for quickly drawing maps from model fits, using only base graphic functions. See [here](http://kimura.univ-montp2.fr/%7Erousset/spaMM/example_raster.html) for more elaborate examples of producing maps. The animated graphics on this page is from an application using the [`IsoriX` package](https://github.com/courtiol/IsoriX/blob/master/README.md).
## References
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