Changes in version 1.7.0 (2026-04-01)                  

Enhancements

  - Add truncate argument to uniformity_test() to allow for custom
    truncation

Bug Fixes

  - Fix several minor issues occurring in edge cases.

Enhancements

  - Extend and export several functions related to the generalized
    Pareto distribution for use in other packages. (#408)
  - Support Pareto PIT functionality via pareto_pit. (#435)
  - Allow more warnings to be turned off via option
    posterior.warn_on_merge_chains.
  - Improve documentation in many places.
  - Improve tests by checking for edge cases.

                 Changes in version 1.6.1 (2025-02-27)                  

Bug Fixes

  - Fix a test issue that led to an R CMD check failure on R devel.

Enhancements

  - Convert lists of matrices to draws_array objects.
  - Improve the documentation in various places.
  - Implement pit() for draws and rvar objects. LOO-PIT can be computed
    using weights.

                 Changes in version 1.6.0 (2024-07-03)                  

Enhancements

  - Add exclude option to subset_draws(), which can be used to exclude
    the matched selection.
  - Add are_log_weights option to pareto_smooth(), which is necessary
    for correct Pareto smoothing computation if the input vector
    consists of log weights.
  - Add pareto_smooth option to weight_draws(), to Pareto smooth weights
    before adding to a draws object.
  - Add individual Pareto diagnostic functions (pareto_khat(),
    pareto_khat_threshold(), pareto_min_ss(), pareto_convergence_rate())
  - thin_draws() now automatically thins draws based on ESS by default,
    and non-integer thinning is possible.
  - Matrix multiplication of rvars can now be done with the base matrix
    multiplication operator (%*%) instead of %**% in R >= 4.3.
  - variables(), variables<-(), set_variables(), and nvariables() now
    support a with_indices argument, which determines whether variable
    names are retrieved/set with ("x[1]", "x[2]" ...) or without ("x")
    indices (#208).
  - Add extract_variable_array() function to extract variables with
    indices into arrays of iterations x chains x any remaining
    dimensions (#340).
  - For types that support factor variables (draws_df, draws_list, and
    draws_rvars), extract_variable() and extract_variable_matrix() can
    now return factors.

                 Changes in version 1.5.0 (2023-10-31)                  

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).

                 Changes in version 1.4.1 (2023-03-14)                  

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).

                 Changes in version 1.4.0 (2023-02-22)                  

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).

                 Changes in version 1.3.1 (2022-09-06)                  

  - Minor release that fixes some CRAN check failures.

                 Changes in version 1.3.0 (2022-08-15)                  

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).

                 Changes in version 1.2.2 (2022-06-09)                  

Enhancements

  - Improve the mcse_sd function to not make a normality assumption.
    (#232)

                 Changes in version 1.2.1 (2022-03-07)                  

Bug Fixes

  - Correctly transform lists of data.frames into draws_list objects.
  - Correctly drop variables on assigning NULL in mutate_variables.
    (#222)

                 Changes in version 1.2.0 (2022-01-05)                  

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)

                 Changes in version 1.1.0 (2021-09-09)                  

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)

                 Changes in version 1.0.1 (2021-07-14)                  

  - ensure that all unit tests pass on all CRAN environments
  - fix a problem that sometimes lead to rvars being unnecessarily slow
    (#179)

                 Changes in version 1.0.0 (2021-07-13)                  

  - initial CRAN release

                        Changes in version 0.1.0                        

  - beta release