posterior 1.7.1

• Minor release to accommodate the JOSS paper.

posterior 1.7.0

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.

posterior 1.6.1

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.

posterior 1.6.0

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.

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 1.4.0

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 1.2.0

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)

v1.0.0 (initial CRAN release)

This is the initial CRAN release version.

v0.1.4 (rvar format added)

This version adds support for the random variables (rvar) format, thanks to @mjskay (#106).

v0.1.0 (beta release)

All major features for the first CRAN release should be there already and the interfaces should be mostly stable. More details on the Stan discourse forums: https://discourse.mc-stan.org/t/beta-release-of-our-posterior-r-package/15949