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prepare for CRAN patch due to Rcpp
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YunyiShen committed Aug 11, 2021
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2 changes: 1 addition & 1 deletion DESCRIPTION
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Package: CARlasso
Title: Conditional Autoregressive LASSO
Version: 0.1.1
Version: 0.1.2
Authors@R: c(person("Yunyi", "Shen", email = "[email protected]", role = c("aut", "cre"),comment = c(ORCID = "0000-0003-2779-6507")),person("Claudia","Solis-Lemus", role = "aut", comment = c(ORCID = "0000-0002-9789-8915")))
Maintainer: Yunyi Shen <[email protected]>
Description: Algorithms to fit Bayesian Conditional Autoregressive LASSO with automatic and adaptive shrinkage described in Shen and Solis-Lemus (2020) <arXiv:2012.08397>.
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2 changes: 1 addition & 1 deletion vignettes/glasso.Rmd
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Expand Up @@ -35,7 +35,7 @@ head(dt)
Unlike `CARlasso`, we do not really need to have a formula (because we do not have predictors, only responses). To use the Normal version, we should set `link="identity"` which is the default.


```{r ar1example_first}
```{r ar1example_first, eval = FALSE}
glassores <- bGlasso(data = dt)
plot(glassores)
```
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