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Changelog

Source: NEWS.md

plotor 0.6.0

User-focussed changes

  • Summary OR tables (#28)

    Introduced summary tables for odds ratios, making it easier to view and interpret results from your model.

  • Faster estimates of confidence intervals (#53)

    Optional argument, confint_fast_estimate, for both plot_or() and table_or() that allows for faster approximation of confidence intervals using stats::confint.default(). This can be helpful for large data sets where confidence intervals can take a long time to calculate for.

  • Improved validation of the confidence level (#29)

    Enhanced how the package checks user input for confidence levels, reducing the risk of invalid values being used.

    This included enhanced checks in the internal function validate_conf_level_inputs() with enhanced error handling and user feedback (#31).

  • Assumption checks

    Started a suite of checks that assumptions for logistic regression are upheld. Implemented in this release:

    Assumptions: check outcome is binary (#42)

    Added logic to confirm the outcome variable is binary, as required for odds ratio calculations.

    Assumptions: check for multicollinearity (#43)

    Implemented checks to detect multicollinearity among predictors, helping users identify and address issues that could affect model validity.

    Assumptions: check for separation (#47)

    Added checks for separation in the data, which can cause estimation problems in logistic regression.

  • Updated README

    Improved the README documentation, making it easier for users to get started and understand the package.

Developer-focussed changes

  • Test suite (Developer focus) (#33, #37)

    Added and developed a suite of tests for ensuring code reliability and maintaining quality as the package evolves.

  • Bug fixes

    Addressed and resolved warnings related to the {tidyselect} package, leading to cleaner output and better compatibility with the tidyverse ecosystem. (#34)

    Updated the way class descriptions are handled, consolidating them into single strings for consistency and clarity. (#50)

    Fixed ordering of terms and levels in table_or(), so results are presented in a logical and expected sequence. (#54, #56)

For the full details, see the changelog: https://github.com/craig-parylo/plotor/compare/v0.5.2…v0.6.0

plotor 0.5.2

CRAN release: 2025-02-09

  • plot_or() now respects the order of covariates in the formula when plotting (#15).

  • plot_or() handles missing information to avoid {ggplot2} related warning messages (#11).

  • plot_or() accepts customised confidence limits, e.g. 99%, used when calculating the confidence intervals (#19).

  • plot_or() conducts checks on inputs - ensuring the {glm} model is a logistic regression (family = ‘binomial’ and link = ‘logit’) and validates the confidence limit to be within the range 0.001 to 0.999 (#22, #19).

plotor 0.5.1

CRAN release: 2024-09-27

plotor 0.5.0

plotor 0.1.0

  • Initial CRAN submission.