The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
flextable output as the default
table format across package table functions, while retaining
gt and tibble-style outputs where appropriate.approach = logit and
format = flextable.adjust_for support for adjusted multivariable
workflows, including downstream regression plots and combined regression
plots.uni_reg() and
multi_reg() via model_stats = TRUE, with AIC,
BIC, log-likelihood, deviance, pseudo R-squared, linear-model R-squared,
and model N stored in $model_stats.approach = "firth" /
approach = firth for Firth penalized logistic regression in
uni_reg(), multi_reg(),
stratified_uni_reg(), and
stratified_multi_reg(), with OR tables and compatibility
with regression plots and forest plot helpers.data_endometrial, a classic endometrial cancer
dataset with a separation pattern, for teaching and testing Firth
logistic regression.cox_reg() for Cox proportional hazards regression
using time, event, exposures, and
optional adjust_for, returning HR and adjusted HR
tables.surv_reg() for parametric survival regression
using time, event, exposures,
optional adjust_for, and a selectable survival
distribution, returning time-ratio tables.stratifier argument in cox_reg() and
surv_reg(), with stratum-specific N, event counts, and
formatted regression tables.km_plot() for Kaplan-Meier survival curves with
optional confidence intervals, censoring marks, log-rank p-values, and
number-at-risk tables.km_plot(), including
y-axis limits, percentage-scale display, optional grid removal, theme
selection, confidence interval styling, and title/subtitle sizing for
patchwork-style figure panels.km_risk_table() for standalone Kaplan-Meier risk
tables at requested follow-up times, with at-risk, event, and censored
counts.rmst_table() for restricted mean survival time
summaries up to a chosen follow-up time, with optional two-group RMST
difference.surv_model_compare() for comparing candidate
parametric survival distributions by AIC, BIC, log-likelihood, scale,
events, and N.plot_surv_fit() for visually comparing observed
Kaplan-Meier curves with fitted parametric survival curves.surv_predict() for model-based survival
probability predictions from fitted parametric survival regression
models.survival_summary() for Kaplan-Meier median
survival summaries with total N, events, censored counts, and
publication-style table outputs.survival_quantiles() for Kaplan-Meier survival
time quantiles, including event percentiles, corresponding survival
probabilities, and confidence intervals.survival_prob() for Kaplan-Meier survival
probabilities at fixed follow-up times, with at-risk, event, censored,
and confidence interval columns.logrank_test() for formal comparison of
Kaplan-Meier survival curves, with observed and expected events plus
formatted p-value output.check_ph() for proportional hazards screening of
Cox models using Schoenfeld residual tests, with flextable, gt, and
tibble outputs.plot_model_fit() for visual model diagnostics
from fitted lm/glm models and from models
stored in uni_reg() and multi_reg()
outputs.mediation_analysis() for regression-based
mediation analysis with formatted direct, indirect, total, and
proportion mediated tables.plot_mediation() for drawing a mediation path
diagram from mediation_analysis() outputs.data_diabetes_mediation, a health-related
diabetes teaching dataset for practicing obesity, glucose, and diabetes
mediation workflows.compare_models() for publication-ready comparison
of fitted gtregression model outputs, including AIC, BIC,
log-likelihood, likelihood ratio statistics, primary exposure estimates,
percent change, analysis-sample checks, and highlighted best-fit
summaries.save_forest() for exporting
forest_reg() outputs with reproducible sizing across
graphics devices and operating systems.labelled::var_label(), across descriptive,
regression, stratified, merged, plotted, and forest-style outputs.dissect(), select_models(),
interaction_models(), and
identify_confounder().identify_confounder() to support confounding assessment
alongside crude and adjusted model comparisons.dev/manual-tests/
for real-time testing of logistic, linear, log-binomial, robust Poisson,
Poisson, negative binomial, Cox, parametric survival, Firth, and
mediation workflows.descriptive_table(), uni_reg(),
multi_reg(), stratified_uni_reg(), and
stratified_multi_reg() documentation with clearer examples
using package datasets.merge_tables() so descriptive, crude, and
adjusted tables can be combined more reliably, including when visible
variable labels differ between input tables.modify_table() so merged tables retain clean
headers, spanners, and footnotes after relabelling.forest_df() and forest_reg()
support for descriptive summaries combined with univariable and
multivariable regression outputs.forest_df() and forest_reg()
support for stratified regression outputs, including one-object
stratified forest plots with highlighted stratum headers and preserved
row order.cox_reg() and
surv_reg() outputs work with plot_reg(),
plot_reg_combine(), forest_df(),
forest_reg(), merge_tables(),
modify_table(), and select_models().cox_reg() and surv_reg()
consistency with the rest of the package: both now support single
multivariable models, adjusted exposure workflows, interaction terms,
stratified workflows, and coherent table labels.compare_models() output so user-supplied or
object-derived model names are displayed instead of generic model
labels, and context-aware warnings distinguish same-sample comparisons
from different-sample comparisons.save_table() handling for wide Word tables by
preferring landscape orientation before reducing font size, respecting
minimum font sizes, and allowing users to turn width fitting off.save_docx(table_width = ...) available for custom document
layouts.select_models() output so formatted tables
clearly report the model selection direction used.merge_tables() flextable headers so internal
merge suffixes such as _p1, _p2, and
_p3 are not shown in rendered tables.merge_tables() row alignment when descriptive and
regression tables contain the same variables but different visible
labels.modify_table() handling of merged flextable
outputs so clean subheaders and group spanners are preserved.check_convergence() so failed multivariable model
fits return a clear non-converged table rather than failing during table
formatting.time, event, and
the current exposure rather than using a single complete-case dataset
across all exposures.survival model
functions, while negative follow-up times remain invalid.forest_df() row-order handling after joins and
merges so forest plots follow the same display order as the source
regression table.data_SynthDiabetes, a
synthetic replacement based on mlbench::SynthDiabetes2
(mlbench >= 2.1-11), and regenerated all mediation teaching fixtures
that depended on the prior dataset.plot_reg(),
plot_reg_combine()).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.
Health stats visible at Monitor.