From 3e88a89bcfd6e5637fff9ca47408c048199adceb Mon Sep 17 00:00:00 2001 From: Nicholas Clark Date: Fri, 29 Nov 2024 07:30:35 +1000 Subject: [PATCH] fix missing fig in index --- docs/index.html | 7 ++++--- index.Rmd | 5 +++-- index.md | 12 ++++++++++-- 3 files changed, 17 insertions(+), 7 deletions(-) diff --git a/docs/index.html b/docs/index.html index b26bf243..207cfcb2 100644 --- a/docs/index.html +++ b/docs/index.html @@ -141,8 +141,9 @@

Getting startedPlot the series to see how they evolve over time

 plot_mvgam_series(data = data$data_train, series = 'all')
-

-

Fit a State-Space GAM to these series that uses a hierarchical cyclic seasonal smooth term to capture variation in seasonality among series. The model also includes series-specific latent Gaussian Processes with squared exponential covariance functions to capture temporal dynamics

+
Visualizing multivariate proportional time series using the mvgam R package #rstats

Fit a State-Space GAM to these series that uses a hierarchical cyclic seasonal smooth term to capture variation in seasonality among series. The model also includes series-specific latent Gaussian Processes with squared exponential covariance functions to capture temporal dynamics

 mod <- mvgam(y ~ s(season, bs = 'cc', k = 7) +
                s(season, by = series, m = 1, k = 5),
@@ -177,7 +178,7 @@ 
Other resourcesDistributed lags (and hierarchical distributed lags) using mgcv and mvgam
 
  • Incorporating time-varying seasonality in forecast models
    • 
 
-
    Please also feel free to use the mvgam Discussion Board to hunt for or post other discussion topics related to the package.
    
+
    Please also feel free to use the mvgam Discussion Board to hunt for or post other discussion topics related to the package, and do check out the mvgam changelog for any updates about recent upgrades that the package has incorporated.

    Interested in contributing? diff --git a/index.Rmd b/index.Rmd index 939e2b6f..7c19eab5 100644 --- a/index.Rmd +++ b/index.Rmd @@ -54,10 +54,11 @@ data <- sim_mvgam(family = betar(), ``` Plot the series to see how they evolve over time -```{r} +```{r, eval = FALSE} plot_mvgam_series(data = data$data_train, series = 'all') ``` +![Visualizing multivariate proportional time series using the mvgam R package #rstats](man/figures/README-beta_sim-1.png) Fit a State-Space GAM to these series that uses a hierarchical cyclic seasonal smooth term to capture variation in seasonality among series. The model also includes series-specific latent Gaussian Processes with squared exponential covariance functions to capture temporal dynamics ```{r, eval = FALSE} @@ -94,7 +95,7 @@ A number of case studies have been compiled to highlight how GAMs and DGAMs can * [Distributed lags (and hierarchical distributed lags) using mgcv and mvgam](https://ecogambler.netlify.app/blog/distributed-lags-mgcv/){target="_blank"} * [Incorporating time-varying seasonality in forecast models](https://ecogambler.netlify.app/blog/time-varying-seasonality/){target="_blank"} -Please also feel free to use the [`mvgam` Discussion Board](https://github.com/nicholasjclark/mvgam/discussions) to hunt for or post other discussion topics related to the package. +Please also feel free to use the [`mvgam` Discussion Board](https://github.com/nicholasjclark/mvgam/discussions) to hunt for or post other discussion topics related to the package, and do check out the [`mvgam` changelog](https://nicholasjclark.github.io/mvgam/news/index.html) for any updates about recent upgrades that the package has incorporated. ## Interested in contributing? I'm actively seeking PhD students and other researchers to work in the areas of ecological forecasting, multivariate model evaluation and development of `mvgam`. Please reach out if you are interested (n.clark'at'uq.edu.au). Other contributions are also very welcome, but please see [The Contributor Instructions](https://github.com/nicholasjclark/mvgam/blob/master/.github/CONTRIBUTING.md) for general guidelines. Note that diff --git a/index.md b/index.md index 27a1f8e8..d4ad8193 100644 --- a/index.md +++ b/index.md @@ -106,7 +106,12 @@ Plot the series to see how they evolve over time plot_mvgam_series(data = data$data_train, series = 'all') ``` -![](index_files/figure-gfm/unnamed-chunk-4-1.png) +
    + + +
    Fit a State-Space GAM to these series that uses a hierarchical cyclic seasonal smooth term to capture variation in seasonality among series. @@ -177,7 +182,10 @@ DGAMs can be useful for working with time series data: Please also feel free to use the [`mvgam` Discussion Board](https://github.com/nicholasjclark/mvgam/discussions) to hunt for -or post other discussion topics related to the package. +or post other discussion topics related to the package, and do check out +the [`mvgam` +changelog](https://nicholasjclark.github.io/mvgam/news/index.html) for +any updates about recent upgrades that the package has incorporated. ## Interested in contributing?