diff options
Diffstat (limited to 'vignettes/ubms.Rmd')
| -rw-r--r-- | vignettes/ubms.Rmd | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/vignettes/ubms.Rmd b/vignettes/ubms.Rmd index 317b2e1..ccbdb50 100644 --- a/vignettes/ubms.Rmd +++ b/vignettes/ubms.Rmd @@ -160,12 +160,12 @@ Tell Stan how many parallel cores you want to use by assigning a value to the `c ```{r, eval=FALSE} library(ubms) -(fit_stan <- stan_occu(~1~1, data=umf, chains=3, iter=300, cores=3)) +(fit_stan <- stan_occu(~1~1, data=umf, chains=3, iter=300, cores=3, seed=123)) ``` ```{r, echo=FALSE} library(ubms) -(fit_stan <- stan_occu(~1~1, data=umf, chains=3, iter=300, refresh=0)) +(fit_stan <- stan_occu(~1~1, data=umf, chains=3, iter=300, refresh=0, seed=123)) ``` ### Compare results @@ -236,7 +236,7 @@ This can help improve model convergence and is generally a good idea. fit_null <- fit_stan fit_global <- stan_occu(~scale(date)~scale(forest)+scale(ele), data=umf, - chains=3, iter=300) + chains=3, iter=300, seed=123) ``` ```{r, echo=FALSE} @@ -245,7 +245,7 @@ fit_null <- fit_stan ```{r, warning=TRUE, echo=FALSE} fit_global <- stan_occu(~scale(date)~scale(forest)+scale(ele), data=umf, - chains=3, iter=300, refresh=0) + chains=3, iter=300, refresh=0, seed=123) ``` The `fit_global` model gave us some warnings about the effective sample size (`n_eff`) along with a suggested solution. |