Version 0.10.0

• Updated documentation to clarify that the implementation of Levene’s Test is based on median, which is also known as the Brown-Forsythe test. Thanks to Brice Langston for pointing this out.
• Objects returned by the basis_...() methods now contain the actual results of each diagnostic tests. This allows users to interrogate any diagnostic failures.
• Added condition_summary() methods for producing tables that compare several environmental conditions.
• Added the function geom_jitter_failure_mode() for plotting data with multiple failure modes for some (or all) observations.
• Added a helper function for separating failure modes.
• Added a check in the maximum_normed_residual() test to ensure that at least 3 observations were provided.
• The calc_cv_star() function now accepts vectors.

Version 0.9.3

• Updated basis_anova function to prevent division by zero when MSE is 0
• Update equiv_change_mean.print method so that t-statistic and pooled SD are displayed.

Version 0.9.2

• Update to Anderson Darling k-Sample vignette to explain differences with SciPy implementation
• Updated README
• Update plot_nested to use linewidth instead of size internally due to update to ggplot2

Version 0.9.1

• Updated tests to accommodate upcoming changes to the rlang package. No change to test coverage was made.

Version 0.9.0

• Added the vignette cmstatr_Validation
• Updated the expected value of the order statistic of a normally distributed variable in the implementation of hk_ext_z_j_opt. This affects the Basis values computed by basis_hk_ext when method="optimum-order". Both the new and old implementations appear to perform equally well. See the vignette hk_ext for more information.
• Added the function nested_data_plot for producing nested data plots.
• Added the vignette hk_ext
• Updated the vignette cmstatr_Graphing to show some examples of the use of nested_data_plot.
• Added the additional column batch to the carbon.data.2 example data set.
• In k_factor_normal, suppress warnings emitted by qt when the non-central parameter is large.
• Updated the test to use testthat edition 3.

Version 0.8.0

• Updated basis_anova so that in cases where the between-batch variance is small compared with the within-batch variance, a tolerance factor that doesn’t consider the structure of the data is used. This matches the recommendation of Vangel (1992).
• Added the alias override="all" to allow overriding all applicable diagnostic tests that are automatically run by the basis_... functions.
• Improved documentation of diagnostic tests
• Added na.rm argument to cv with identical behavior to the na.rm argument of mean and sd.
• Fixed bug causing maximum_normed_residual to fail with small data sets where all but two observations would be considered outliers.
• When diagnostic tests produce an error (when automatically run by the basis_... functions), the error message now identifies which test produced the error.

Version 0.7.1

• Fixed bug in glance.equiv_mean_extremum where it would include empty values when a sample was not specified.
• Moved dplyr from Suggests to Depends. It is expected that nearly all users will use this package in their workflow, and a future version of cmstatr will also rely on functionality from dplyr.
• Changed tests and vignettes such that tests and vignette code is not re-run when the necessary packages are not available. Test coverage and re-building of vignettes is unchanged when all packages in Depends and Suggests are available.

Version 0.7.0

• Added optional argument to glance.basis to add diagnostic test results to resulting data.frame

Version 0.6.0

• Improved the documentation for several functions
• Made minor formatting changes to the print methods for:
  • ad_ksample
  • anderson_darling
  • basis
  • equiv_mean_extremum
  • equiv_chage_mean
  • levene_test
  • maximum_normed_residual
• Added alpha into the mnr object, and updated print and glance methods to show the value of alpha specified by the user

Version 0.5.2

• Internally use vapply instead of sapply to improve code safety
• Increased coverage of unit tests

Version 0.5.1

• Fixed the title of the graphing vignette

Version 0.5.0

• Renamed transform_mod_cv_2 to transform_mod_cv_ad to better describe the purpose of this function.
• Removed the optional argument from transform_mod_cv. Now if several groups are to be transformed separately, this needs to be done explicitly using dplyr::group_by or a similar strategy.
• Fixed bug related to the automated diagnostic tests of pooled basis methods when modcv = TRUE. Previously, the diagnostic tests were performed with the unmodified data. After this bug fix, the the data after the modified CV transform is used for the diagnostic tests.
• Added stat extensions to ggplot2:
  • stat_normal_surv_func to plot a normal survival function based on the data given
  • stat_esf to plot an empirical survival function
• Updated cmstatr_Tutorial vignette
• Created cmstatr_Graphing vignette
• Various documentation improvements

Version 0.4.0

• Added automated diagnostic tests to basis_… methods
• Updated argument names for functions:
  • transform_mod_cv
  • transform_mod_cv_2
  • normalize_group_mean
• Updated cmstatr_Tutorial vignette

Version 0.3.0

• Added modified CV functionality
• Added glance and augment methods for most objects
• Added function for calculating CV of a sample
• Breaking changes:
  • Renamed function basis_nonparametric_large_sample to basis_nonpara_large_sample
  • Renamed function nonparametric_binomial_rank to nonpara_binomial_rank

Version 0.2.0

• Added ANOVA basis calculation
• Added non-parametric basis calculations

Version 0.1.0

• Initial release