From 4162c1a4521b355b3d5916d4d1acb3695a783f77 Mon Sep 17 00:00:00 2001 From: Nicholas Clark Date: Wed, 1 May 2024 15:03:26 +1000 Subject: [PATCH] more skips --- .github/workflows/R-CMD-check-rstan.yaml | 2 +- src/mvgam.dll | Bin 1084416 -> 1084416 bytes tests/testthat/test-mvgam_priors.R | 9 ++++----- 3 files changed, 5 insertions(+), 6 deletions(-) diff --git a/.github/workflows/R-CMD-check-rstan.yaml b/.github/workflows/R-CMD-check-rstan.yaml index 1e68bbe1..edeebcfb 100644 --- a/.github/workflows/R-CMD-check-rstan.yaml +++ b/.github/workflows/R-CMD-check-rstan.yaml @@ -69,4 +69,4 @@ jobs: - uses: r-lib/actions/check-r-package@v2 with: build_args: 'c("--no-manual", "--no-build-vignettes")' - args: 'c("--no-manual", "--as-cran", "--ignore-vignettes")' + args: 'c("--no-examples", "--no-manual", "--as-cran", "--ignore-vignettes")' diff --git a/src/mvgam.dll b/src/mvgam.dll index b908ba0c001a62da88c437f1f33218ad869b4535..5ba8e05b2eee0f7c5b4036909ee9a6b898347f42 100644 GIT binary patch delta 78 zcmV~$%MCz407cOl|GzryC_w@Cxw@rv g5xxjSC?XMyM5H1UxhO;_Dp8*_ZD;QHiu&f8ezgH49smFU delta 78 zcmV~$yA4240EW@H-fwg07{LH~tEedcL{xMZ5tZ^T@r6ZH&Y6yGI=XE!uie+)+~bUJ hgb}Xrgf9XSib%vF5vj;TE(%eeRCQw>dj)Ov4L`$IBxV2r diff --git a/tests/testthat/test-mvgam_priors.R b/tests/testthat/test-mvgam_priors.R index 88aa2180..53ea8792 100644 --- a/tests/testthat/test-mvgam_priors.R +++ b/tests/testthat/test-mvgam_priors.R @@ -1,5 +1,8 @@ context("mvgam_priors") +# Generating this many model skeletons takes time; CRAN will complain +skip_on_cran() + test_that("get_mvgam_priors works for a variety of ma and cor trends", { priors <- get_mvgam_priors(y ~ s(season, k = 7), trend_model = 'RW', @@ -34,11 +37,7 @@ test_that("get_mvgam_priors works for a variety of ma and cor trends", { }) -set.seed(100) -beta_data <- sim_mvgam(family = betar(), - trend_model = 'GP', - trend_rel = 0.5, - T = 60) + test_that("get_mvgam_priors finds all classes for which priors can be specified", { beta_data$data_train$cov <- rnorm(NROW(beta_data$data_train)) beta_data$data_train$cov2 <- rnorm(NROW(beta_data$data_train))