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1 | 1 | # NIMBLE
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2 | 2 | [](https://github.com/nimble-dev/nimble/actions/workflows/ci.yaml)
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3 | 3 | [](https://ci.appveyor.com/project/nimble-dev/nimble)
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4 |
| -[](https://CRAN.R-project.org/package=nimble) |
| 4 | +[](https://CRAN.R-project.org/package=nimble) |
5 | 5 | [](https://zenodo.org/record/1211190)
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6 | 6 | [](https://groups.google.com/forum/#!forum/nimble-users)
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7 | 7 |
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14 | 14 | NIMBLE is an R package for hierarchical statistical modeling (aka
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15 | 15 | graphical modeling). It enables writing general models along with
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16 | 16 | methods such as Markov chain Monte Carlo (MCMC), particle filtering
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17 |
| -(aka sequential Monte Carlo), and other general methods. |
| 17 | +(aka sequential Monte Carlo), Laplace approximation and other general methods. |
18 | 18 |
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19 | 19 | For writing statistical models, NIMBLE adopts and extends the BUGS
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20 | 20 | language, making it largely compatible with
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@@ -77,7 +77,7 @@ NIMBLE. Journal of Computational and Graphical Statistics 26:403-413. [https://d
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77 | 77 |
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78 | 78 | In published work that uses NIMBLE, please also cite the package version:
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79 | 79 |
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80 |
| -de Valpine, P., C. Paciorek, D. Turek, N. Michaud, C. Anderson-Bergman, F. Obermeyer, C. Wehrhahn Cortes, A. Rodriguez, D. Temple Lang, and S. Paganin. 2024. NIMBLE: MCMC, Particle Filtering, and Programmable Hierarchical Modeling. doi: 10.5281/zenodo.1211190. R package version 1.2.0, https://cran.r-project.org/package=nimble. |
| 80 | +de Valpine, P., C. Paciorek, D. Turek, N. Michaud, C. Anderson-Bergman, F. Obermeyer, C. Wehrhahn Cortes, A. Rodriguez, D. Temple Lang, W. Zhang, S. Paganin, and P. van Dam-Bates. 2024. NIMBLE: MCMC, Particle Filtering, and Programmable Hierarchical Modeling. doi: 10.5281/zenodo.1211190. R package version 1.2.1, https://cran.r-project.org/package=nimble. |
81 | 81 |
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82 | 82 | To help us track usage to justify funding support for NIMBLE, please include the DOI in the citation.
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83 | 83 |
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