SMNlmec

Scale Mixture of Normal Distribution in Linear Mixed-Effects Model

CRAN Package

Bayesian analysis of censored linear mixed-effects models that replace Gaussian assumptions with a flexible class of distributions, such as the scale mixture of normal family distributions, considering a damped exponential correlation structure which was employed to account for within-subject autocorrelation among irregularly observed measures. For more details, see Kelin Zhong, Fernanda L. Schumacher, Luis M. Castro, Victor H. Lachos (2025) doi:10.1002/sim.10295.

  • Version1.0.0
  • R versionR (≥ 4.2)
  • LicenseGPL-3
  • Needs compilation?No
  • Last release01/30/2025

Team


Insights

Last 30 days

This package has been downloaded 123 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.

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0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
0 downloadsMar 4, 2025
0 downloadsMar 5, 2025
0 downloadsMar 6, 2025
2 downloadsMar 7, 2025
0 downloadsMar 8, 2025
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0 downloadsMar 10, 2025
6 downloadsMar 11, 2025
2 downloadsMar 12, 2025
3 downloadsMar 13, 2025
3 downloadsMar 14, 2025
7 downloadsMar 15, 2025
3 downloadsMar 16, 2025
7 downloadsMar 17, 2025
4 downloadsMar 18, 2025
1 downloadsMar 19, 2025
4 downloadsMar 20, 2025
13 downloadsMar 21, 2025
6 downloadsMar 22, 2025
5 downloadsMar 23, 2025
2 downloadsMar 24, 2025
1 downloadsMar 25, 2025
4 downloadsMar 26, 2025
6 downloadsMar 27, 2025
3 downloadsMar 28, 2025
0 downloadsMar 29, 2025
4 downloadsMar 30, 2025
1 downloadsMar 31, 2025
14 downloadsApr 1, 2025
4 downloadsApr 2, 2025
14 downloadsApr 3, 2025
2 downloadsApr 4, 2025
2 downloadsApr 5, 2025
0
14

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 728 times in the last 365 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The day with the most downloads was Nov 29, 2024 with 36 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports9 packages