NEWS
mnet 0.1.5
- Provide sampling distributions of parameters in both groups instead of differences in the output. This allows for more flexible construction of customized test-statistic, such as connectivity (sum of absolute values of edges).
mnet 0.1.4 (2025-02-13)
- Fixed bug in paired version of the test (the two permuted datasets were the same and all sampling distributions of differences therefore equal to zero)
- Added function to compare N=1 (non-multilevel) VAR models for independent samples
mnet 0.1.3
- In the permutation test, group differences in partial correlations between random intercepts (the "between-network") are now tested based on averaged regression coefficients instead of partial correlations based on averaged regression coefficients. This was changed such that the permutation test uses the same parameters as the parametric test. We use the regression coefficients for the latter, because we have standard errors for those.
mnet 0.1.2 (2023-06-07)
- New argument "trueMeans" in mlVAR_GC() for developmental purposes
- Made Student's t-test default for parametric test
- Some tweaks to the parametric test
- New example dataset by Koval et al. (2013)
- Included permutation test for paired samples
mnet 0.1.1 (2023-05-18)
- Fixed bug in input checks
- Changed how groups are provided to the function mlVAR_GC; before with two separate arguments, now we specify a column name with the group variable to make it more consistent with the other arguments
- Included empirical data of Fried et al. (2022)
- Added a parametric test for fixed lagged, fixed contemporaneous, and between network parameters