posterior 1.2.2
Enhancements
- Improve the
mcse_sd function to not make a normality
assumption. (#232)
posterior 1.2.1
Bug Fixes
- Correctly transform lists of data.frames into
draws_list objects.
- Correctly drop variables on assigning
NULL in
mutate_variables. (#222)
posterior 1.2.0
Enhancements
- support casting to/from
rvar and
distributional::dist_sample (#109)
Bug Fixes
- fix hidden variables in
bind_draws.draws_df when
binding more than two objects thanks to Jouni Helske (#204)
- fix output of
pillar::glimpse() when used on a data
frame containing rvars (#210)
- drop
"draws" and "draws_df" classes from
draws_df objects if meta data columns are removed by a
dplyr operation (#202)
- fix output of
print.draws_df() on objects with
unrepaired draws (#217)
- ensure
variance() works properly with
summarise_draws() (#219)
posterior 1.1.0
Enhancements
- use
matrixStats to speed up convergence functions
(#190) and rvar summaries (#200)
Bug Fixes
- ensure that
as_draws_rvars() works on lists of lists
(#192)
- fix some vector recycling issues with
rvar_rng
(#195)
- ensure that
subset_draws() respects input variable
order, thanks to Karl Dunkle Werner and Alexey Stukalov (#188)
Other Changes
- No longer check for constant-per-chain input in effective sample
size diagnostics as this is overly conservative especially for
ess_tail. (#198)
posterior 1.0.1
- ensure that all unit tests pass on all CRAN environments
- fix a problem that sometimes lead to
rvars being
unnecessarily slow (#179)
posterior 1.0.0
posterior 0.1.0