NEWS

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MCMCvis 0.16.4

• MCMCdiag now accepts params, excl, ISB, and exact arguments to summarize and save out a subset of parameters (useful for model runs with many params where object may exceed memory limit)

MCMCvis 0.16.3 (2023-10-17)

• MCMCdiag fix spacing issue for min neff in summary file for cmdstanr objects
• MCMCdiag change behavior so that if specified dir does exist, save to working dir
• MCMCdiag if mkdir name exists, append '_1' to filename and create

MCMCvis 0.16.2 (2023-08-23)

• Fix CRAN documentation issue

MCMCvis 0.16.1

• Fix bug in MCMCsummary that prevented n.eff from being displayed for jagsUI objects

MCMCvis 0.16.0 (2023-05-12)

• All functions now accept model objects fit with cmdstanr package
• Add Table of Contents to vignette

MCMCvis 0.15.5 (2022-02-08)

• MCMCplot fix bug associated with ref_ovl = TRUE and the specification of multiple objects. Function also now automatically lightens colors specified (instead of defaulting to gray) when ref_ovl = TRUE

MCMCvis 0.15.4

• MCMCsummary fix bug associated with pg0 = TRUE when input was derived from Stan

MCMCvis 0.15.3 (2021-06-24)

• MCMCsummary now takes argument pg0. When pg0 = TRUE the proportion of the posterior that is greater than 0 is returned as a column
• MCMCdiag now takes any argument from MCMCsummary to modify printed summary output
• Clean up documentation

MCMCvis 0.15.2 (2021-05-14)

• MCMCdiag add more descriptive message about output from nimble objects
• MCMCtrace fix rdev matrix warning

MCMCvis 0.15.1 (2021-04-13)

• MCMCplot fix bug that prevented plotting with a single parameter

MCMCvis 0.15.0 (2021-03-17)

• MCMCdiag function added to create .txt file summarizing model inputs and outputs and save model object as .rds file
• All functions now take exact as an argument to parse desired parameter. ISB = TRUE no longer uses regex matching (exact should be used to specify this).
• Add support for objects output from the nimble package
• MCMCpstr fix bug where the incorrect number of dimensions would be returned when subsetting a param with >1 dim
• MCMCplot now takes the argument ci which can be used to specify the credible interval displayed in the caterpillar plot
• MCMCplot now takes the argument HPD which can be used to specify whether highest posterior density intervals or equal-tailed intervals should be displayed in the caterpillar plot

MCMCvis 0.14.3

• MCMCplot fix bug where error would result when trying to plot a single parameter

MCMCvis 0.14.2

• MCMCplot can now plot models that have NA for posterior estimates. Useful when plotting two models side-by-side is desired and one model has parameters that the other does not (use MCMCchains to create matrix of draws, add NA-filled cols with missing parameter names, and plot)

MCMCvis 0.14.1

• MCMCtrace fix undesired behavior when post_zm is specified as FALSE

MCMCvis 0.14.0 (2020-03-25)

• MCMCsummary for model objects fit with jagsUI, the function now returns Rhat and n.eff values that coincide with values calculated in that package (e.g., split-chain Rhat), rather than calculating these with the coda package. These values are fed into MCMCtrace when Rhat and/or n.eff are specified as TRUE.
• MCMCsummary fix bug where an error was returned when func_name was not specified

MCMCvis 0.13.6

• MCMCtrace now accepts expression input (for Greek characters etc.) from R for main_den and main_tr args

MCMCvis 0.13.5 (2019-12-07)

• All functions now avoid using function class (and use is instead) as matrix objects will also be array as of R 4.0.0

MCMCvis 0.13.4

• MCMCtrace no longer changes working dir when wd is specified - just puts pdf there

MCMCvis 0.13.3 (2019-10-23)

• MCMCpstr fix bug where dimensions were not displayed properly for Stan models
• MCMCpstr fix warning with objects derived from rstanarm and brms
• MCMCsummary change variable names to reflect what is displayed by brms package (rather than raw Stan output)

MCMCvis 0.13.2

• MCMCsummary fix bug thrown when one only one chain run for Stan models
• MCMCsummary fix Rhat label issue (from r_hat to Rhat)

MCMCvis 0.13.1 (2019-09-25)

• MCMCsummary fix bug that caused stanfit parameter names to be numbers

MCMCvis 0.13.0 (2019-09-23)

• MCMCsummary now takes quantiles as an argument, allowing user to specify which quantiles to return
• MCMCsummary now takes HPD as an argument to calculate highest posterior density intervals
• MCMCsummary now outputs as a data.frame rather than a matrix
• MCMCchains fix bug that output different parameters names for stanreg and brms objects
• MCMCplot fix bug that caused guidelines to plot over appropriate bounds

MCMCvis 0.12.6

• MCMCplot now has object2, col2, and offset arguments. Allows user to plot output from two separate models, as long as both model outputs have identical parameter names.

MCMCvis 0.12.5

• MCMCplot now has guide_lines argument, to plot lines to help reference which posterior corresponds to each parameter name
• Remove deprecated arguments

MCMCvis 0.12.4

• Add support for objects output from rstanarm and brms packages
• MCMCplot add support for plotting multiple colors on the same plot

MCMCvis 0.12.3

• MCMCsummary for n.eff the default is now TRUE (displays number of effective samples by default)
• MCMCtrace now has the option plot. When FALSE no plot is output. Used in conjunction with PPO_out = TRUE to to calculate PPO without plotting trace plots.

MCMCvis 0.12.2 (2019-02-24)

• MCMCsummary fix bug where Stan input was not being sorted by parameter index

MCMCvis 0.12.1 (2019-01-18)

• MCMCtrace fix spacing issue for Rhat and n.eff text when Rhat = TRUE and n.eff = TRUE
• MCMCplot add deprecation warnings for arguments

MCMCvis 0.12.0 (2019-01-02)

• MCMCsummary for stanfit objects (model output derived from Stan) Rhat and n_eff are calculated using the rstan package. Note that rstan calculates Rhat and n_eff values slightly differently (more conservatively) than the coda package (commonly used to summarize model output derived from JAGS).
• MCMCplot the following argument names have been changed: orig: labels_sz, new: sz_labels orig: med_sz, new: sz_med orig: thick_sz, new: sz_thick orig: thin_sz, new: sz_thin orig: axis_text_sz, new: sz_ax_txt orig: ax_sz, new: sz_ax orig: tick_text_sz, new: sz_tick_txt orig: main_text_sz, new: sz_main_txt orig: tick_pos, new: pos_tick
• MCMCtrace add ability to specify xlim and ylim for density plots
• MCMCtrace add ability to specify xlab and ylab for density and trace plots
• MCMCtrace add ability to specify title for trace and density plot
• MCMCtrace add ability to specify line width and line type for density and prior lines on density plots
• MCMCtrace add ability to specify color for density and priors lines on density plots
• MCMCtrace add ability to specify size and color of text when priors specified, and the position of ticks for density and trace plots
• MCMCtrace add ability to specify size of tick labels, axes labels, and thickness of axes
• MCMCtrace clean up plotting of trace plots when only two plots are plotted in window
• MCMCtrace add ability to include Rhat and number of effective samples on trace plots

MCMCvis 0.11.3

• MCMCchains fix error associated with coda::mcmc and rjags objects

MCMCvis 0.11.2 (2018-08-27)

• MCMCplot now takes guide_axis argument. If TRUE, a second axis (x-axis if HORIZ = TRUE, y-axis if HORIZ = FALSE) is plotted to help interpret values on plot.

MCMCvis 0.11.1

• MCMCchains now assigns arbitrary names to columns (parameters) when input type is matrix (along with a warning that it is doing so)
• MCMCtrace now modifies the layout of trace plots when < 6 plots are generated
• MCMCpstr fix bug that prevented scalars when type = 'chains'

MCMCvis 0.11.0 (2018-05-22)

• MCMCsummary digits argument is now NULL by default (all computed digits are returned upon default - any rounding must be explicitly specified)
• MCMCsummary digits argument uses signif rather than round for rounding (in other words, digits specifies number of significant digits rather than number of decimal places)
• MCMCsummary now takes round argument to round output to specified number of decimal places
• MCMCpstr no longer has the option to restrict the number of digits output (returns all digits)
• MCMCpstr now takes type as an argument. When type = 'summary' (default), values calculated with the func argument (default mean) are returned. When type = 'chains', posterior chains are returned while preserving the parameter structure. Posterior samples are stored in the last dimension of the array for each element of the output list. In this way vector parameters are output in matrix format, matrix parameters are output in three dimension array format (within each element of the output list - one parameter for each list element).
• MCMCpstr now accepts output greater than length 1 from argument func. If output is greater than length 1, function output are stored in the last dimension of the array (within each element of the output list - one parameter for each list element).

MCMCvis 0.10.4

• MCMCchains now takes chain_num as an argument. When specified, single posterior chains can be output for a particular parameter of interest. Useful for determining the last value in an MCMC chain for each parameter (to be used as initial values for a subsequent model run).

MCMCvis 0.10.3

• All functions now return a warning for missing params inexcl and params arguments instead of an error. This means that output will be returned even when values specified do not exist. Change was made to MCMCchains code but impacts all functions.
• Fix typos
• Add contributors Che-Castaldo and Hardy

MCMCvis 0.10.2 (2018-05-02)

• MCMCtrace now takes post_zm as an argument. When post_zm = FALSE, x- and y-limits of density plots are scaled so that both the prior and posterior can be visualized on a plot (rather than zoomed on the posterior).

MCMCvis 0.10.1

• MCMCpstr fix bug to institute rounding when parameters as scalars or vectors
• MCMCtrace now takes PPO_out as an argument. When PPO_out = TRUE, the percent overlap between prior and posterior for each paras will be returned as a data.frame.
• Add CITATION file

MCMCvis 0.10.0 (2018-04-05)

• Fix warning when feeding jags.parallel object to MCMCsummary
• Fix bug that produced an error when using stanfit objects
• Add automated tests to check package functions
• MCMCtrace now takes open_pdf as an argument. When open_pdf = FALSE, the generated pdf will not be opened in a viewer automatically.
• MCMCtrace now takes gvals as an argument. When simulated data are used to fit a model, the generating values used to simulate the data (true parameter values) will be plotted as vertical lines on the density plots.
• MCMCplot ref_ovl argument now defaults to FALSE (one color is plotting for all parameter estimates)
• Change MCMC_data (example data) so that it's smaller (only 5k iterations and two parameters)

MCMCvis 0.9.4 (2018-01-27)

• Fix white space issue in MCMCplot when many parameters are plotted and large fig dimensions are used
• Fix label alignment issue in MCMCplot when horiz = FALSE and large numbers of parameters are plotted

MCMCvis 0.9.3

• Fix bug that prevented parameters from being sorted when using matrix input for MCMCtrace
• Add support for objects produced with the jagsUI package

MCMCvis 0.9.2 (2018-01-11)

• MCMCtrace now takes matrix input (as with the other functions). One chain is assumed when matrix input is used.

MCMCvis 0.9.1

• Fix bug that produced errors when using the jags.parallel function in the R2jags package.
• All functions - when ISB = FALSE, params argument now takes the form of regular expressions
• Examples for MCMCtrace no longer open up external programs (pdf viewer) per CRAN policy

MCMCvis 0.9.0

• MCMCpstr function now added. Function returns summary output for a specified function while preserving structure of parameters (i.e., scalar, vector, matrix, array).
• MCMCtrace now takes a priors argument to visualize prior/posterior overlap. If specified, the prior (user specified as this information is not contained within the MCMC output) for a specified parameter is plotted on the same plot as the posterior output. Percent overlap between posterior and prior is also calculated and displayed.
• Fix bug in MCMCchains that caused incorrect alphabetization of parameter names when output from R2jags was used.

MCMCvis 0.8.2

• MCMCsummary greatly speed up calculation of Rhat values for objects with large numbers of parameters
• MCMCchains now takes the argument mcmc.list. If specified, mcmc.list object returned rather than a matrix.

MCMCvis 0.8.1 (2017-10-31)

• Fix bug in MCMCsummary that displayed the same result twice when selecting only a single output parameter of interest
• Fix bug in MCMCplot that displayed the axis label too close to tick labels when horiz = FALSE and tick labels were very long
• MCMCsummary Rhat values always round to 2 digits
• MCMCsummary output from func argument rounded to specified digits for rest of output
• MCMCsummary now takes a func_name argument. If specified, column displaying output from func will be labeled with this name. If not specified, column will be labeled 'func'.
• MCMCplot change argument x_axis_text_sz and x_tick_text_sz to axis_text_sz and tick_text_sz respectively

MCMCvis 0.8.0

• Specification of parameters of interest now works slightly differently. The argument ISB (Ignore Square Bracket) has now been added. By default ISB = TRUE - params and excl match exactly to parameter names by default (ignoring square brackets). When ISB = FALSE, square brackets will not be ignored, and will match on partial names (as when using grep). This applies to all functions.
• MCMCsummary now takes a func argument. If a function is specified, it will be evaluated for all specified parameters and specified in the MCMCsummary output.
• MCMCsummary speed greatly increased. Parameters of interest are now sorted before calculations are made. Rhat values are no longer masked, but rather not calculated when Rhat = FALSE. These changes result in dramatic speed ups for large objects.
• MCMCsummary bug fixed that caused function to fail when only one chain was run
• MCMCsummary standard deviation added to summary output for each parameter.
• MCMCsummary number of effective samples added to summary output for each parameter. Default is n.eff = FALSE (metric will not be calculated or displayed).
• MCMCtrace default is now to write trace plots to pdf. Default number of iterations changed to 5000 from 2000.
• MCMCplot y-axis labels now vertical when horiz = FALSE to improve readability.
• MCMCplot bug that resulted in poor plot dimension choices in some circumstances now fixed.
• MCMC_data now contains three chains with 6000 iterations each.
• Error message now added about functions not taking objects produced from jags.samples function in the coda package. coda.samples should be used instead.

MCMCvis 0.7.1 (2017-02-08)

• Fix bug in MCMCplot which incorrectly shaded parameter estimates when plotted vertically
• MCMCsummary now displays estimates for deviance with MCMC output fits with R2jags

MCMCvis 0.7.0 (2017-01-05)

• Fix bug in MCMCsummary to do with Cholesky decomposition and calculating Rhat.
• Speed up processing of MCMCsummary for certain object types.
• Fix minor documentation errors in help files for several functions.
• MCMCplot labels now start at top and go down (more intuitive).
• MCMCtrace now plots only the last 2000 iterations of the posterior chains by default. The argument is now number of iterations to be plotted, rather than the starting iteration to plot. As such, MCMCtrace argument iter_st (start iteration) changed to iter (number of iterations from end).
• Add horiz argument to MCMCplot - caterpillar plots can now be plotted to run vertically rather than horizontally. Parameters are plotted left to right when plotted vertically.
• Remove extended lines on axes for MCMCplot - axes lines only goes to the end of ticks now.

MCMCvis 0.6.3 (2016-10-06)

• Initial release