From 3b424f767004f4b0df9849941e402edb008aa05f Mon Sep 17 00:00:00 2001 From: Sean Anderson Date: Tue, 19 Jun 2018 08:13:15 -0700 Subject: [PATCH] poisson -> Poisson --- vignettes/spatial-glms.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vignettes/spatial-glms.Rmd b/vignettes/spatial-glms.Rmd index 7b2cd24..69a221d 100644 --- a/vignettes/spatial-glms.Rmd +++ b/vignettes/spatial-glms.Rmd @@ -9,7 +9,7 @@ vignette: > \usepackage[utf8]{inputenc} --- -Here we will use the glmmfields package to fit a spatial GLM with a predictor. While glmmfields was designed to fit spatiotemporal GLMs with the possibility of extreme events, it can also be used to fit regular spatial GLMs without a time element and without extreme events. Currently it can fit Gaussian (link = identity), Gamma (link = log), poisson (link = log), negative binomial (link = log), and binomial (link = logit) models. The package can also fit lognormal (link = log) models. +Here we will use the glmmfields package to fit a spatial GLM with a predictor. While glmmfields was designed to fit spatiotemporal GLMs with the possibility of extreme events, it can also be used to fit regular spatial GLMs without a time element and without extreme events. Currently it can fit Gaussian (link = identity), Gamma (link = log), Poisson (link = log), negative binomial (link = log), and binomial (link = logit) models. The package can also fit lognormal (link = log) models. ```{r set-knitr-options, cache=FALSE, echo=FALSE} library("knitr")