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lpp: (lines per page) and cpp: (columns per
page), overriding the deck-wide t_lpp/t_cpp
(tables) and l_lpp/l_cpp (listings) arguments
of generate_slides() for that slide only, so a short table
and a long one can use different densities in the same deck. Entries
without the fields are unchanged. Note that the gtsummary path still
recomputes lpp from the slide height (#121), so a spec
lpp does not yet affect it (#126).decor = FALSE slide paths, so no PPTX/XML
post-processing is needed.with_font_sizes() now forwards additional formatter
arguments supplied by its caller.t_mh_slide() integration and a reproducibly
generated synthetic eg_admh example dataset for
medical-history summaries.add_ai_story() (and an add_ai_story
MCP tool): a post-processing step that reads a generated
.pptx, asks an LLM to tell the story of the tables, and
inserts real content slides – a summary section at the front and a
conclusions section at the end – instead of hidden speaker notes.
get_ai_story() and add_story_slides() expose
the LLM call and the (network-free) slide insertion separately.
get_ellmer_chat() now also supports the
"anthropic" platform. get_ai_story() falls
back to plain-text JSON mode for providers that do not support native
structured output (e.g. DeepSeek).generate_slides() now reads an
optional font_size: block
(body/header/footer) and
table_format from each output’s spec entry, and a deck-wide
font_size argument. Sizes are applied via the new exported
with_font_sizes() helper, which injects sizes into any
table formatter (only forwarding sizes the formatter accepts).autoslider_format() and black_format_tb()
gain a footer_font_size argument.to_flextable.data.frame(): font_size now
defaults to NULL and the uniform font override is only
applied when it is explicitly set, so font sizes coming from
table_format are no longer overwritten. Note: plain
data-frame slides that previously rendered at the hard-coded 9pt now
follow the sizes from table_format unless
font_size is supplied.apply_tokens() to substitute {token}
placeholders (e.g. {study}) in titles, footnotes and
placeholder slides with values from a user-controlled
metadata list, so study-level text can be driven from
metadata instead of edited in the deck.read_metadata() and an example
metadata.yml
(system.file("metadata.yml", package = "autoslider.core"))
so {token} values can be kept in a yaml file.
read_spec() now also accepts a metadata file path for its
metadata argument and reads it for you,
e.g. read_spec("spec.yml", metadata = "metadata.yml").officer version 0.7.0.styler from suggests.officer dependency on function
layout_default.inst/templates/.tlg_templates ,
adding_templates, use_LLM, and
using_format.use_templates for specified
packages.append_all_slides()g_vs_slide)
from g_mean_general().use_LLM.ellmer dependency, enable AI prompt.split_rows_by and
analysis on the same variable multiple times, enhancing the
table paths. Upstream enhancement from rtables.l_ae_slide example.g_lb_slide,
g_eg_slide, g_vs_slide,
l_ae_slide and t_ds_slide.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.
Health stats visible at Monitor.