Changelog

Source: NEWS.md

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

CRAN release: 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.

posterior 1.6.0

CRAN release: 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.

posterior 1.5.0

CRAN release: 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).

posterior 1.4.1

CRAN release: 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).

posterior 1.4.0

CRAN release: 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).

posterior 1.3.1

CRAN release: 2022-09-06

• Minor release that fixes some CRAN check failures.

posterior 1.3.0

CRAN release: 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).

posterior 1.2.2

CRAN release: 2022-06-09

Enhancements

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

posterior 1.2.1

CRAN release: 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)

posterior 1.2.0

CRAN release: 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)

posterior 1.1.0

CRAN release: 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)

posterior 1.0.1

CRAN release: 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)

posterior 1.0.0

CRAN release: 2021-07-13

• initial CRAN release

posterior 0.1.0

• beta release