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olsrr 0.5.2

This is a minor release to fix bugs from breaking changes in recipes package and other enhancements.

Enhancements

  • variable selection procedures now return the final model as an object of class lm (#81)
  • data preparation functions of selected plots are now exported to enable end users to create customized plots and to use plotting library of their choice (#86)

olsrr 0.5.1

This is a patch release to fix minor bugs and improve error messages.

Enhancements

olsrr now throws better error messages keeping in mind beginner and intermediate R users. It is a work in progress and should get better in future releases.

Bug Fixes

Variable selection procedures based on p values now handle categorical variables in the same way as the procedures based on AIC values.

olsrr 0.5.0

This is a minor release for bug fixes and API changes.

API Changes

We have made some changes to the API to make it more user friendly:

  • all the variable selection procedures start with ols_step_*
  • all the test start with ols_test_*
  • all the plots start with ols_plot_*

Bug Fixes

  • ols_regress returns error in the presence of interaction terms in the formula (#49)

  • ols_regress returns error in the presence of interaction terms in the formula (#47)

  • return current version (#48)

olsrr 0.4.0

Enhancements

  • use ols_launch_app() to launch a shiny app for building models
  • save beta coefficients for each independent variable in ols_all_subset() (#41)

Bug Fixes

  • mismatch in sign of partial and semi partial correlations (#44)
  • error in diagnostic panel (#45)
  • standardized betas in the presence of interaction terms (#46)

A big thanks goes to (Dr. Kimberly Henry) for identifying bugs and other valuable feedback that helped improve the package.

olsrr 0.3.0

This is a minor release containing bug fixes.

Bug Fixes

  • output from reg_compute rounded up to 3 decimal points (#24)
  • added variable plot fails when model includes categorical variables (#25)
  • all possible regression fails when model includes categorical predictors (#26)
  • output from bartlett test rounded to 3 decimal points (#27)
  • best subsets regression fails when model includes categorical predictors (#28)
  • output from breusch pagan test rounded to 4 decimal points (#29)
  • output from collinearity diagnostics rounded to 3 decimal points (#30)
  • cook's d bar plot threshold rounded to 3 decimal points (#31)
  • cook's d chart threshold rounded to 3 decimal points (#32)
  • output from f test rounded to 3 decimal points (#33)
  • output from measures of influence rounded to 4 decimal points (#34)
  • output from information criteria rounded to 4 decimal points (#35)
  • studentized residuals vs leverage plot threshold rounded to 3 decimal points (#36)
  • output from score test rounded to 3 decimal points (#37)
  • step AIC backward method AIC value rounded to 3 decimal points (#38)
  • step AIC backward method AIC value rounded to 3 decimal points (#39)
  • step AIC both direction method AIC value rounded to 3 decimal points (#40)

olsrr 0.2.0

This is a minor release containing bug fixes and minor improvements.

Bug Fixes

  • inline functions in model formula caused errors in stepwise regression (#2)
  • added variable plots (ols_avplots) returns error when model formula contains inline functions (#3)
  • all possible regression (ols_all_subset) returns an error when the model formula contains inline functions or interaction variables (#4)
  • best subset regression (ols_best_subset) returns an error when the model formula contains inline functions or interaction variables (#5)
  • studentized residual plot (ols_srsd_plot) returns an error when the model formula contains inline functions (#6)
  • stepwise backward regression (ols_step_backward) returns an error when the model formula contains inline functions or interaction variables (#7)
  • stepwise forward regression (ols_step_backward) returns an error when the model formula contains inline functions (#8)
  • stepAIC backward regression (ols_stepaic_backward) returns an error when the model formula contains inline functions (#9)
  • stepAIC forward regression (ols_stepaic_forward) returns an error when the model formula contains inline functions (#10)
  • stepAIC regression (ols_stepaic_both) returns an error when the model formula contains inline functions (#11)
  • outliers incorrectly plotted in (ols_cooksd_barplot) cook's d bar plot (#12)
  • regression (ols_regress) returns an error when the model formula contains inline functions (#21)
  • output from step AIC backward regression (ols_stepaic_backward) is not properly formatted (#22)
  • output from step AIC regression (ols_stepaic_both) is not properly formatted (#23)

Enhancements

  • cook's d bar plot (ols_cooksd_barplot) returns the threshold value used to classify the observations as outliers (#13)
  • cook's d chart (ols_cooksd_chart) returns the threshold value used to classify the observations as outliers (#14)
  • DFFITs plot (ols_dffits_plot) returns the threshold value used to classify the observations as outliers (#15)
  • deleted studentized residuals vs fitted values plot (ols_dsrvsp_plot) returns the threshold value used to classify the observations as outliers (#16)
  • studentized residuals vs leverage plot (ols_rsdlev_plot) returns the threshold value used to detect outliers/high leverage observations (#17)
  • standarized residuals chart (ols_srsd_chart) returns the threshold value used to classify the observations as outliers (#18)
  • studentized residuals plot (ols_srsd_plot) returns the threshold value used to classify the observations as outliers (#19)

Documentation

There were errors in the description of the values returned by some functions. The documentation has been thoroughly revised and improved in this release.

olsrr 0.1.0

First release.

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