sizeinternally due to update to
hk_ext_z_j_opt. This affects the Basis values computed by
method="optimum-order". Both the new and old implementations appear to perform equally well. See the vignette
hk_extfor more information.
nested_data_plotfor producing nested data plots.
cmstatr_Graphingto show some examples of the use of
carbon.data.2example data set.
k_factor_normal, suppress warnings emitted by
qtwhen the non-central parameter is large.
basis_anovaso 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).
override="all"to allow overriding all applicable diagnostic tests that are automatically run by the
cvwith identical behavior to the
maximum_normed_residualto fail with small data sets where all but two observations would be considered outliers.
basis_...functions), the error message now identifies which test produced the error.
glance.equiv_mean_extremumwhere it would include empty values when a sample was not specified.
dplyrfrom Suggests to Depends. It is expected that nearly all users will use this package in their workflow, and a future version of
cmstatrwill also rely on functionality from
glance.basisto add diagnostic test results to resulting
mnrobject, and updated
glancemethods to show the value of
alphaspecified by the user
sapplyto improve code safety
transform_mod_cv_adto better describe the purpose of this function.
transform_mod_cv. Now if several groups are to be transformed separately, this needs to be done explicitly using
dplyr::group_byor a similar strategy.
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.
stat_normal_surv_functo plot a normal survival function based on the data given
stat_esfto plot an empirical survival function