manymome

Computes indirect effects, conditional effects, and conditional indirect effects in a structural equation model or path model after model fitting, with no need to define any user parameters or label any paths in the model syntax, using the approach presented in Cheung and Cheung (2024) doi:10.3758/s13428-023-02224-z. Can also form bootstrap confidence intervals by doing bootstrapping only once and reusing the bootstrap estimates in all subsequent computations. Supports bootstrap confidence intervals for standardized (partially or completely) indirect effects, conditional effects, and conditional indirect effects as described in Cheung (2009) doi:10.3758/BRM.41.2.425 and Cheung, Cheung, Lau, Hui, and Vong (2022) doi:10.1037/hea0001188. Model fitting can be done by structural equation modeling using lavaan() or regression using lm().

Last 30 days

This package has been downloaded 548 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 17 times.

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 9,858 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Sep 26, 2024 with 103 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.