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rifttable 0.6.3

  • New functionality:
    • Provide easier interface to code competing events by directly providing event = "event_variable@Event_Type_One" in the design. If multiple event types are present, estimate cumulative incidence and differences/ratios of cumulative incidence in a competing-event setting.
    • Allow for clustered observations in survival data, e.g., multiple rows per person.
    • Estimate ratios of survival and cumulative incidence, i.e., x-year risk ratios. Use MOVER estimation for confidence intervals of both ratios and differences in survival and cumulative incidence by default.
    • Support weights, e.g., inverse-probability weights, directly via a weights argument in the design. Weighted estimates are currently available for many survival estimators: type = "cuminc", "surv", their differences and ratios (e.g., "cumincdiff"), and "hr". This is a breaking change for Cox models (type = "hr"), where providing weights in the arguments list now generates an error.
  • Bug fixes:
    • Allow for @ in factor levels for a table1_design().
    • rt_gt(): Output knitr-formatted tables for GitHub-flavored markdown also in Quarto .qmd, similar to .Rmd.
    • Better handling of edge cases, e.g., ratios of 0, when rounding estimates.
  • Expanded documentation
    • Restructure site.
    • Separate documentation of estimators by outcome type.
    • New FAQs on confidence levels, reference levels, custom functions, and joint models.

rifttable 0.6.2

  • New functionality:
    • Add overall argument exposure_levels to let user control handling of missing exposure levels (NA) or factors with empty levels as the exposure.
    • type = "geomean" for geometric means.
  • Documentation: Expand FAQs.
  • Internal and bug fixes:
    • Consider exposure or trend of "" as missing, and stratum = "" as no subsetting by the effect_modifier, instead of subsetting to effect modifier being an empty string. Input check that a stratum must be provided for joint models and strata are not empty.
    • Consider missing type as "blank".
    • Do not add empty rows/columns if type2 has empty results for some cells or if only a trend variable and no exposure is given.
    • Rounding works even if result vector contains strings (e.g., no estimate).
    • More safeguards for all-NA outcome variables. More input checks.
    • Do not warn about non-0/1 outcomes in log-linear models for ratios of continuous variables.
    • Add initial set of unit tests.

rifttable 0.6.1

  • New functionality:
    • Cox models (type = "hr") allow for weights, clustering, and robust standard errors.
    • Argument ratio_digits_decrease: By default, decrease number of decimal digits shown for ratios by 1 digit for ratios > 3 and by 2 digits for ratios
      1. Leads to rounded ratios and confidence intervals of 1.23, 3.4, and 11.
    • rt_gt() now indents the first column and applies markdown formatting to it by default.
  • New FAQ vignette.
  • Bug fixes:
    • Binary outcomes returned NA instead of 0 in unstratified tables with all-null outcome.
    • type = "maxfu" ignored digits and diff_digits.
    • Allow for different exposure (strata labels) and arguments in one table.
    • Show unstratified estimate if exposure is "", not just for NA.
  • Internal:
    • rt_gt(): suppress random id of gt tables to keep git diff slim.
    • Keep variables .event, .outcome, etc. available under their original names.
    • Require {risks} >= 0.4.2.
    • Examples load the breastcancer dataset from the risks package.

rifttable 0.6.0

  • Breaking changes:
    • to is set to ", " by default, instead of "-" for ratio variables and " to " for difference variables
    • Custom functions are now directly called via the type variable, following a restructuring of all estimation functions with greater flexibility.
    • design$type no longer accepts additional arguments, such as time points. Supply list instead via design$arguments.
    • Suppression of strata with sparse or re-identifiable data with design$nmin now differentiates between counts of total observations or outcomes, depending on estimator.
  • New function table1_design(): Generate design of a descriptive "Table 1."
  • New outcome option "variable@level" for categorical variables that displays level as a binary outcome. Used by table1_design().
  • Support unstratified tables displaying the trend/linear slope (trend variable in the design) without an exposure.
  • More customization:
    • rifttable(reference = ...): Label for the reference category.
    • design$ci: Width of confidence intervals.
    • design$na_rm: Omitting observations with missing outcome data.
    • design$arguments: Flexibly passing along any argument to estimation functions.
  • New vignette describing all estimators.
  • Internal:
    • Drop dependency on R >= 4.1 and native pipe.
    • Require {risks} >= 0.4.0.
    • Remove dependency on {labelled} package.
    • The {gt} and {quantreg} packages are now optional as soft dependencies.
    • Compatible with {dplyr} 1.1.0, {tidyselect} 1.2.0

rifttable 0.5.0

  • khsmisc::table2() "graduated" into its own package. See {khsmisc} Changelog for earlier versions.
  • Add breastcancer() dataset
  • Use R >= 4.1 native pipe, |>
  • Remove RMTL estimators