olsrr 0.6.1

This is a patch release for urgent bug fixes.

Bug Fixes

• Limit maximum subset order in ols_step_all_possible() (#202)
• Check model type (#204)
• Mismatch in column names in ols_step_all_possible() (#211)
• RMSE is not square root of MSE in ols_regress() (#213)
• geom_segment() warning in ols_plot_obs_fit() (#217)
• New snapshot added every time tests are run (#218)

olsrr 0.6.0

This is a minor release for bug fixes and other enhancements.

Enhancements

• force variables to be included or excluded from the model at all stages of variable selection
• variable selection methods allow use of the following metrics:
  • p value
  • akaike information criterion (aic)
  • schwarz bayesian criterion (sbc)
  • sawa bayesian criterion (sbic)
  • r-square
  • adjusted r-square
• hierarchical selection can be enabled when using p values as variable selection metric
• choose threshold for determining influential observations in ols_plot_dffits()

Bug Fixes

• allow users to specify threshold for detecting outliers (#178)
• if ols_test_outlier() does not find any outliers, it returns largest positive residual instead of largest absolute residual (#177)
• using ols_step_all_possible() with Model created from dynamic function leads to "Error in eval(model$call$data) . . . not found" (#176)
• ols_step_both_p(): Error in if (pvals[minp] <= pent) {: argument is of length zero (#175)
• handle extremely significant variables (#173)
• ols_correlations() returns error for models with 2 predictors (#168)
• ols_step_both_aic() doesn't return model (#167)
• ols_regress() returned residual standard error instead of RMSE (@jens-daniel-mueller, #165)
• extracting model data (#159)
• ols_plot_resid_stud() fails to plot outliers due to y-axis range (#155)
• ols_correlations error (#191)
• mallow's Cp behaves inconsistently depending on model specification (#196)
• ols_step_forward_p(...) problem using the funtion ols_step_forward_p (#200)
• output of the command "ols_step_both_aic" doesn't contain final model (#201)

olsrr 0.5.3

olsrr 0.5.3

This is a patch release to reduce the number of packages imported and
fix other CRAN errors.

New Features

• Bonferroni outlier test (#129)

Breaking Changes

The following functions will now require the variable names to be enclosed within quotes

• ols_test_bartlett()
• ols_plot_resid_regressor()

olsrr 0.5.2

This is a minor release to fix a bug resulting 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)

v0.5.1

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 0.4.2

This is a patch release for an urgent bug fix.

Bug Fixes

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

olsrr 0.4.1

This is a patch release for an urgent bug fix.

Bug Fixes

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

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)