The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

tern.mmrm 0.3.2

Miscellaneous

Added xlimits and ylimits arguments to the g_mmrm_lsmeans function.

tern.mmrm 0.3.1

Miscellaneous

• Replace usage of scda and scda.2022 in vignettes with random.cdisc.data.
• Change package maintainer to Joe Zhu.

tern.mmrm 0.3.0

Adapt to release 0.3 of the mmrm package.

New features

• Any additional arguments can be passed now via ... to mmrm::mmrm when calling fit_mmrm. In particular, the method argument allows to choose Kenward-Roger adjustment of degrees of freedom and coefficients covariance matrix.

Breaking changes

• The optimizer interface is different now: For choosing automatically the right optimizer, just omit the optimizer argument when calling fit_mmrm.

Miscellaneous

• parallelly is now used internally to handle the determination of available cores.

tern.mmrm 0.2.1

Breaking changes

• Completed refactoring of the computations to use the new mmrm package instead of lme4 and lmerTest. This greatly increases convergence and speed. Different covariance structures and optimizers are now available compared to before.

New features

• Added function g_covariance() to visualize a covariance matrix, which can be helpful for choosing or visualizing the covariance structure in the MMRM.
• Added option averages_emmeans to fit_mmrm() which allows estimation of least square means for averages of visits.
• Added weights option for fitting MMRMs.

Enhancements

• Added option accept_singular to fit_mmrm() which allows estimation of rank-deficient models (like lm() and gls()) by omitting the columns of singular coefficients from the design matrix.
• Added options show_lines and xlab to g_mmrm_lsmeans() which allow the addition of lines connecting the estimates, as well as a custom x-axis label.
• Added options table_stats, table_formats, table_labels, table_font_size, and table_rel_height to g_mmrm_lsmeans() which allow the addition of and configure the appearance of an LS means estimates statistics table below the LS means estimates plot.
• Added options constant_baseline and n_baseline to g_mmrm_lsmeans() which allow plotting of a constant baseline value and specifying the corresponding number of patients (visible in the optional table) for the LS means plots.

tern.mmrm 0.1.1

Miscellaneous

• Removed dependency on purrr, tibble, scda and scda.2022
• Changed tests and example apps to use mmrm_test_data as sample data.
• Updated the license.
• Updated the package authors.

tern.mmrm 0.1.0

• Starting this separate package by moving out MMRM functionality from tern.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.