diff --git a/NEWS.md b/NEWS.md index e1ed5511..fc976d56 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,7 +1,7 @@ # mvgam 1.1.4 (development version; not yet on CRAN) ## New functionalities * Improved various plotting functions by returning `ggplot` objects in place of base plots (thanks to @mhollanders #38) -* Added the brier score (`score = 'brier'`) as an option for scoring forecasts of binary variables when using `family = bernoulli()` +* Added the brier score (`score = 'brier'`) as an option in `score.mvgam_forecast()` for scoring forecasts of binary variables when using `family = bernoulli()` * Added `augment()` function to add residuals and fitted values to an mvgam object's observed data (thanks to @swpease #83) * Added support for approximate `gp()` effects with more than one covariate and with different kernel functions (#79) * Added function `jsdgam()` to estimate Joint Species Distribution Models in which both the latent factors and the observation model components can include any of mvgam's complex linear predictor effects. Also added a function `residual_cor()` to compute residual correlation, covariance and precision matrices from `jsdgam` models. See `?mvgam::jsdgam` and `?mvgam::residual_cor` for details diff --git a/docs/news/index.html b/docs/news/index.html index 9151f79c..c7738d71 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -60,7 +60,10 @@
augment()
function to add residuals and fitted values to an mvgam object’s observed data (thanks to @swpease #83)ggplot
objects in place of base plots (thanks to @mhollanders #38)score = 'brier'
) as an option in score.mvgam_forecast()
for scoring forecasts of binary variables when using family = bernoulli()
+augment()
function to add residuals and fitted values to an mvgam object’s observed data (thanks to @swpease #83)gp()
effects with more than one covariate and with different kernel functions (#79)jsdgam()
to estimate Joint Species Distribution Models in which both the latent factors and the observation model components can include any of mvgam’s complex linear predictor effects. Also added a function residual_cor()
to compute residual correlation, covariance and precision matrices from jsdgam
models. See ?mvgam::jsdgam
and ?mvgam::residual_cor
for detailsstability.mvgam()
method to compute stability metrics from models fit with Vector Autoregressive dynamics (#21 and #76)Maintainer: Nicholas J Clark nicholas.j.clark1214@gmail.com (ORCID)
-Other contributors: