NEWS.md
glance.equiv_mean_extremum
where it would include empty values when a sample was not specified.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
.glance.basis
to add diagnostic test results to resulting data.frame
print
methods for:
ad_ksample
anderson_darling
basis
equiv_mean_extremum
equiv_chage_mean
levene_test
maximum_normed_residual
alpha
into the mnr
object, and updated print
and glance
methods to show the value of alpha
specified by the uservapply
instead of sapply
to improve code safetytransform_mod_cv_2
to transform_mod_cv_ad
to 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_by
or 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
extensions to ggplot2
:
stat_normal_surv_func
to plot a normal survival function based on the data givenstat_esf
to plot an empirical survival functiontransform_mod_cv
transform_mod_cv_2
normalize_group_mean
basis_nonparametric_large_sample
to basis_nonpara_large_sample
nonparametric_binomial_rank
to nonpara_binomial_rank