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s_kaplan_meier() range censoring indicator
handling to no longer produce NA values in the output when
either all subjects are censored or none are censored.a_freq_resp_var_j() with
a_freq_j() by adding .formats and
na_str parameters to allow user customization of output
formatting and NA string representation (#67).leftside(), postfun_eq5d
ac_blank_line and tt_to_tblfilett_to_flextable_j() to have correct
left-indentation in header col 1 (#171) and footer first line starting
with newline (#171)a_freq_j(), a_freq_resp_var_j() and
a_eair100_j() (#195)insert_keepNext_vertical_pagination()
(#218)s_summarize_desc_j() when applied to
almost constant data due to behavior from t.test.default()
(#257)tt_to_tlgrtf() now is passing vectorized colwidths when
exporting ‘allparts’ to match the colwidths of the individual parts
(#225)safe_t_test() from
a_summarize_aval_chg_diff.R to a new file
safe_t_test.R,add_blank_line_rcells() from
s_functions.R to blank_line.R.n for s_ancova_j into
n_fit, to differentiate between these two statistics for
combined function s_summarize_ancova_j() (#117)junco_default_labels_startdefault_stats_formats_labelstt_to_flextable_j() and
export_as_docx_j()export_TLG_as_docx(),
which now calls export_as_docx_j() and
export_graph_as_docx() (#173)export_as_docx_j() and
export_graph_as_docx() still exist but are now internal,
i.e. not exportedcran = TRUEtheme_docx_default_j,
tt_to_flextable_j and export_TLG_as_docxa_summary_diff_mvars(),
a_summary_j(), c_summary_subset_label(),
filter_df_prior_afun(), prepend_label_cell(),
s_diff_mean_ci(), s_summary_diff(),
safe_t_test() (#304).a_summarize_ancova_j in a
layout with a combined column facet (#117) + slight change in return
value for s_ancova_j(), now we have n_fit instead of n
returnedtt_to_tlgrtf() and export_as_docx_j()export_TLG_as_docx() and
tt_to_flextable_j() (#213)mult_adj_emmeans in
fit_mmrm_j() to enable (single-step or step-down) Dunnett
multiplicity adjustment for LS means contrasts (p-values and confidence
intervals) for more than one experimental arm within visits.vars argument
of fit_mmrm_j() to enable fitting an overall MMRM with
subgroup interaction terms.lsmeans_wide_cfun,
lsmeans_wide_first_split_fun_fct,
lsmeans_wide_second_split_fun_fctlifecycle to suggestscountsource in
h_a_freq_dataprep altdf_subset (#200)tt_to_tlgrtf(), when exporting an empty listing
do not lose Title and Footerstt_to_tlgrtf() argument
label_width_ins which was not applying the change in the
row label column width (#166).Add a_two_tier() analysis function
Add a_maxlev() to be able to calculate count and
percentage of the maximum level of an ordered factor per
subject
Remove brackets_to_rtf()
Export rbmi_pool() #22
Add functionality to a_freq_j() to process
val = NULL from levels specified in label_map,
as well as the modified version a_freq_j_with_exclude()
that allows to exclude the analysis from specified row splits.
#95
Add a_cmhrms_j() to support p-value from CMH row
mean score test, as well as the modified version
a_cmhrms_j_with_exclude() that allows to exclude the
analysis from specified row splits. #97
Added standard error (SE) column for each treatment arm’s least
square (LS) means estimate to the summarize_lsmeans_wide()
layout.
Added the internal function do_exclude_split() to
facilitate the exclusion of specified row splits from analysis
functions.
Remove some unused functions (jj_uc_map, postfun_cog, column_N, non_blank_sentinel, null_fn, unicodify
Add extra check for existence of .alt_df_full when
layout has risk difference column and a row-split (h_create_alt_df)
#120.
Add docx exporter for Tables, Listings and Figures.
Add alignments argument in
tt_to_tlgrtf()
Removed s_test_proportion_diff() and corresponding
helper functions, as they are now available as needed in the
tern package.
Added cmh_sato and cmh_mn
(Cochran-Mantel-Haenszel stratified proportion difference estimation
with Sato variance and Miettinen Nurminen method, respectively)
method options to the s_proportion_diff_j()
function.
Added formatting function round type (#76)
Fixed bug in s_summarize_desc_j function to handle sparse data (zero variance) cases (#78)
All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.