NEWS

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mlVAR 0.5.2 (2024-02-01)

• Removed deprecated function mlVARsim0

mlVAR 0.5.1 (2023-05-16)

• Fixed remaining deprecated dplyr functions

mlVAR 0.5 (2021-10-25)

• The 'mlVARsample' function has been added to mlVAR
• Added Myrthe Veenman to contributor list
• Fixed a bug where contemporaneous standard deviations were reported as variances instead of standard deviations
• Fixed a bug with the beepvar argument
• Replaced deprecated dplyr functions
• Added a warning for when a beep is used multiple times
• The 'nonsig' argument in the plot method now defaults to 'show' when SD=TRUE
• Fixed a bug in the summary method when fixed effects estimation was used

mlVAR 0.4.3 (2019-06-20)

• mlVAR now issues a warning when < 20 observations per subject are used
• Fixed a bug with 'lmerResults2'
• Now suppressing warnings and messages from lmer
• Added a progress bar for computing random effects

mlVAR 0.4.2 (2019-01-24)

• Contemporaneous multi-level models are now returned in the output

mlVAR 0.4.1 (2018-08-26)

• mlVAR now uses correlations of residuals as estimate for the contemporaneous correlation matrix (not partial) if estimated inverse covariance matrix is not properly invetable
• Added mlVARsample function to run a simulation study given a mlVAR object.
• Fixed a bug with estimator = "mPlus"
• mlVAR now gives a warning when between-subject networks could not be computed, rather than breaking with an uninformative error.

mlVAR 0.4 (2017-09-02)

• Added AR argument to mlVAR to fit AR models only
• estimator = "Mplus" is now supported! Requires Mplus 8 to be installed.
• Several arguments have been added to mlVAR to handle Mplus estimation

mlVAR 0.3.3 (2017-03-28)

• The plot method for mlVAR sim objects now uses nonsig = "show"
• plot method now uses nonsig = "show" by default!
• Summary method now shows p-values for contemporaneous effects
• Several small bugfixes

mlVAR 0.3.1 (2016-07-04)

• The 'partial' argument in 'plot.mlVAR' now defaults to TRUE
• Added 'contemporaneous' argument to mlVAR
• Added 'lm' estimator for fitting unique VAR models per subject
• Added 'rule' argument to plot.mlVAR to set the rule of choosing significance in nodewise GGM estimation

mlVAR 0.3

• Complete rework of package!
• mlVAR, mlVARsim, and relevant methods have been completely rewritten
• Now support contemporaneous effects and between-subjects effects
• Old functions are now labeled mlVAR0, mlVARsim0, etcetera