Skip to content

Latest commit

 

History

History
173 lines (115 loc) · 5.69 KB

NEWS.md

File metadata and controls

173 lines (115 loc) · 5.69 KB
Raw

posterior (development version)

Enhancements

  • Matrix multiplication of rvars can now be done with the base matrix multiplication operator (%*%) instead of %**% in R >= 4.3.

posterior 1.5.0

Enhancements

  • Added support for nested-Rhat via rhat_nested (#256)
  • Added support for indexing draws in rvars using rvars (#282):
    • x[i] or x[i] <- y where i is a scalar logical rvar slices (or updates) x by its draws. Thus, if y <- x[i], then y is the same shape as x but with sum(i) draws.
    • x[[i]] or x[[i]] <- y where i is a scalar numeric rvar slices (or updates) x by selecting the ith element within each corresponding draw. Thus, if y <- x[[i]], then y is an rvar of length 1.
  • Added rvar_ifelse(), which is a variant of ifelse() that accepts (and returns) rvars (#282).
  • Array broadcasting for rvars has been made faster.

Bug Fixes

  • Ensure rfun() works with primitive functions (#290) and dots arguments (#291).
  • Provide implementations of vctrs::vec_proxy_equal(), vctrs::vec_proxy_compare(), and vctrs::vec_proxy_order().
  • Minor future-proofing of cbind(<rvar>), rbind(<rvar>), and chol(<rvar>) for R 4.4 (#304).
  • Ensure that bind_draws(<draws_rvars>) regenerates draw ids when binding along chains or draws; this also fixes a bug in split_chains(<draws_rvars>) (#300).

posterior 1.4.1

Bug Fixes

  • Delay applying tibble::num() formatting to output from summarise_draws() until print() is called so that summary output can be easily converted to a vanilla data frame (#275).

posterior 1.4.0

Enhancements

  • Added new rvar_factor() and rvar_ordered() subtypes of rvar() that work analogously to factor() and ordered() (#149). See the new section on rvar_factors in vignette("rvar").
  • The draws_df(), draws_list(), and draws_rvars() formats now support discrete variables stored as factors / ordereds (or rvar_factors / rvar_ordereds). If converted to formats that do not support discrete variables with named levels (draws_matrix() and draws_array()), factor-like variables are converted to numerics.
  • Made match() and %in% generic and added support for rvars to both functions.
  • Added modal_category(), entropy(), and dissent() functions for summarizing discrete draws.
  • Allow lists of draws objects to be passed as the first argument to bind_draws() (#253).
  • Improving formatting of summarise_draws output via tibble::num.
  • print.rvar() and format.rvar() now default to a smaller number of significant digits in more cases, including when printing in data frames. This is controlled by the new "posterior.digits" option (see help("posterior-package")).
  • Implemented faster vec_proxy.rvar() and vec_restore.rvar(), improving performance of rvars in tibbles (and elsewhere vctrs is used).

Bug Fixes

  • Ensure that as_draws_rvars() preserves dimensions of length-1 arrays (#265).
  • Fix some minor compatibility issues with rvar, vctrs, dplyr, and ggplot2 (#267, #269).

posterior 1.3.1

  • Minor release that fixes some CRAN check failures.

posterior 1.3.0

Enhancements

  • Implement for_each_draw(x, expr), which executes expr once for each draw of x, exposing variables in x as arrays of the shape implied by the indices in their names (#224).
  • Implement subset_draws(), thin_draws(), and resample_draws() for rvars (#225).
  • Allow weights to be optional in resample_draws() (#225).
  • Add an implementation of drop() for rvars.
  • Speed up subsetting of draws_list objects. (#229, #250)

Bug Fixes

  • Support remaining modes of diag() for rvars (#246).
  • Better parsing for named indices in as_draws_rvars(), including nested use of [, like x[y[1],2] (#243).
  • Allow 0-length rvars with ndraws() > 1 (#242).
  • Ensure 0-length rvars can be cast to draws formats (#242).
  • Don't treat length-1 rvars with more than 1 dimension as scalars when casting to other formats (#248).

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

  • initial CRAN release

posterior 0.1.0

  • beta release