v0.3.2 cran

Miscellaneous

Added xlimits and ylimits arguments to the g_mmrm_lsmeans function.

What's Changed

• Replacing deprecated function by @jeffreyCarlLong in #181
• Workflow propagations by @walkowif in #182
• Update DESCRIPTION by @shajoezhu in #185
• update readme by @pawelru in #188
• addign x y axis limit, good to go by @shajoezhu in #187
• Workflow propagations by @walkowif in #189
• Update DESCRIPTION, upversion formatters minimal version to 0.5.9 by @shajoezhu in #190
• fix unit test (which otherwise fails with upcoming mmrm CRAN release) by @danielinteractive in #191
• preparing new cran release 0.3.2 [skip vbump] by @shajoezhu in #193

New Contributors

• @jeffreyCarlLong made their first contribution in #181

Full Changelog: v0.3.1...v0.3.2

v0.3.1 cran

Miscellaneous

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

What's Changed

• update deps of roxygenize hook by @pawelru in #163
• Propagate files from insightsengineering/.github by @insights-engineering-bot in #164
• [skip actions] Propagate files from insightsengineering/.github by @insights-engineering-bot in #165
• options for strict tests; few enhancements by @pawelru in #162
• 166: update snapshots by @danielinteractive in #167
• Skip plot tests on CI by @edelarua in #170
• Add support for verdepcheck action by @averissimo in #174
• Workflow propagation by @walkowif in #171
• Replace usage of scda with random.cdisc.data by @edelarua in #176
• Bumps {rmarkdown} minimal version by @averissimo in #177
• update description, news and readme, [skip vbump] by @shajoezhu in #180

New Contributors

• @averissimo made their first contribution in #174

Full Changelog: v0.3.0...v0.3.1

v0.3.0 cran

• 0.3.0

What's Changed

• Update default landing page by @walkowif in #141
• Update rtables staged dep by @edelarua in #143
• Update token name by @walkowif in #144
• Update workflows by @walkowif in #148
• Workflow propagations by @walkowif in #149
• reduce the amount of spelling issues / WORDLIST by @m7pr in #150
• Workflow propagation by @walkowif in #151
• 152: Adapt to new mmrm version by @danielinteractive in #155
• Fix data description by @edelarua in #157
• init commit for preping release, [skip vbump] by @shajoezhu in #158
• rm mmrm from staged.dependencies by @danielinteractive in #160
• Workflow propagation by @walkowif in #161
• 147: towards cran release v0.3.0 [skip vbump] by @danielinteractive in #159

New Contributors

• @m7pr made their first contribution in #150

Full Changelog: v0.2.2...v0.3.0

v0.2.2

Adapt to version 0.2.2 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.

What's Changed

• [skip vbump] Dev version with 9xxx by @arkadiuszbeer in #131
• Add coverage badge by @walkowif in #132
• Enable checks for workflow_dispatch event by @walkowif in #133
• rm_mmrm_frm_staged_deps by @shajoezhu in #135
• Badges and contribution guidelines by @insights-engineering-bot in #137
• 138: adapt to new mmrm package version by @danielinteractive in #140

Full Changelog: v0.2.1...v0.2.2

v0.2.1

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.

What's Changed

• Update check.yaml by @arkadiuszbeer in #120
• Update NEWS.md by @shajoezhu in #123
• 124 Clean up tern.mmrm NEWS by @edelarua in #126
• 122: clean up readme by @danielinteractive in #125
• Fix grammar in NEWS.md by @edelarua in #127
• add weights option by @danielinteractive in #128
• quick fix by @danielinteractive in #130
• [skip vbump] Release for version 0.2.1 by @insights-engineering-bot in #129

New Contributors

• @shajoezhu made their first contribution in #123
• @edelarua made their first contribution in #126

Full Changelog: v0.2.0...v0.2.1

v0.2.0

Breaking changes

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

New features

• Added function g_covariance() which visualizes a covariance matrix, which
  can be helpful for choosing or visualizing the covariance structure in the MMRM.
• Added option average_emmeans to fit_mmrm() which allows to estimate
  least square means for averages of visits.

Enhancements

• Added option accept_singular to fit_mmrm() which allows to estimate
  rank-deficient models (similar as lm() and gls() do) by omitting the columns
  of singular coefficients from the design matrix.
• Added options show_lines and xlab to g_mmrm_lsmeans()
  which offer 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,
  table_rel_height to g_mmrm_lsmeans which offer the addition of LS means
  estimates statistics table below the LS means estimates plot, and control the
  appearance details of it.
• Added options constant_baseline and n_baseline to g_mmrm_lsmeans()
  which allow to plot a constant baseline value and to specify the
  corresponding number of patients (visible in the optional table) for the LS means
  plots.

v0.1.1

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