mcmodule 1.3.0

Added support for sensitivity-analysis workflows based on sampling designs (Morris and Sobol), including new helpers mctable_bounds() and mctable_sobol_matrices() (#49).
eval_module() now supports creating modules using a sampling design (#49).
Added set_sampling_design() to register a sampling design for use across the workflow (#49).
Other package functions (mc_keys(), mc_match(), mc_match_data(), trial_totals()) adapted to handle nodes created from sampling designs (#49).
Added a tornado plot for correlation analysis via mcmodule_tornado() (#49).
Added mcnode_null_rm() to replace absent nodes by an specific value (similar to mcnode_na_rm()) (#66).
Added a experimental function to optimize the number of iterations needed for uncertainty convergence optim_ndvar() (#82).
Improved convergence diagnostics in mcmodule_converg(), including clearer summaries and reporting of non-converged nodes (#49).
Improved mcmodule_info(), now returns the number of nodes by type and handles more complex module–expression combinations (#70).

Fixed a bug in mc_compare() when comparing a total mcnode with multiple data_names (#71).
Fixed an add_prefix() bug where totals node names were not correctly prefixed (#68).
Fixed a bug in eval_module() when package::function() nomenclature was used within expressions (#32).
Renamed filter_suffix to suffix (#77).

Expanded the main package vignette, including sensitivity analysis examples (#49, #70).
Added sensitivity analysis vignette (#49, #70).
Expanded mc_compare() documentation with align_uncertainty explanation (#65).
Updated the package citation and README details (#57, #69).

mcmodule 1.2.0

create_mcnodes() no longer automatically calculates rpert() mode when not provided. This was not widely used and lacked transparency.

New mc_filter() filters mcnodes and metadata within mcmodules or using mcnode and data (#53).
New mc_plot() visualises Monte Carlo results with support for filters and color mapping. This function is experimental and may change in future versions (#4).
New mcmodule_info() provides comprehensive information about mcmodule structure (#43).
New mcmodule_corr() calculates correlation matrices for mcmodule variates (#48).
New mcmodule_converg() assesses convergence of Monte Carlo simulations (#50).
New mcmodule_to_matrices() converts mcmodules to matrix format (#3).
New mcmodule_to_mc() adapts mcmodules to mc2d mc objects with optional aggregation of variates (#3).
eval_module() now supports mcstoc() and mcdata() calls directly within expressions, with proper nvariates handling (#32, #42).
New which_mcnode() function, with specific wrapers for NA (which_mcnode_na()) and Inf ()which_mcnode_inf()) detection (#35).

add_prefix() no longer has issues when mcmodule uses pipes (#51).
add_prefix() and combine_modules() now handle absent module metadata in nodes.
create_mcnodes() now handles argument ordering and issues warnings for multiple column matches (#34).
eval_module() improves handling of mcnode creation from data when nodes are not in mctable or prev_mcmodule (#32).
get_node_list() now uses custom AST traversal parser and improves mcnode ordering for better network visualization(#39, #40).
mc_network() fixes bug related to unprefixed inputs in trial_totals output nodes.
trial_totals() now combines keys from all inputs, not just the main mc_name.
eval_module()and set_mctable()now can use sensi_baseline and sensi_variation to perfrom One-At-a-Time sensitivity analysis. This will be further developed in future releases (#49).
Not exported functions mc_summary_keys() and node_list_summary() have been removed.
The distinction between “exp” and “module” terminology has been clarified throughout the package.
Function documentation has been extended and harmonised.
Documentation updated to clarify use of mcstoc() and mcdata() within expressions in eval_module() (#32, #42).
Vignettes updated to document new analysis functions and features (#3, #4, #32, #48, #49, #50).
Website links updated to https://nataliaciria.com/mcmodule/.

eval_module() gains keys and overwrite_keys arguments to add keys that aren’t in data_keys or replace existing keys (#23).
keys_match() now returns early when keys already match, improving performance and fixing occasional bugs (#28).
Core functions (eval_module(), trial_totals(), dim_match(), at_least_one(), mc_match(), create_mcnodes(), get_node_list()) now support mcnodes with multiple data names, with clear messages indicating defaults (#19).
create_mcnodes() and eval_module() provide clearer error messages for invalid or missing data (#18).
mc_match() and mc_match_data() include improved scenario baseline checks and error messages.

Re-submission to CRAN. Removed unexported function examples, replaced dontrun with donttest, added vignette link to DESCRIPTION, and included citation file.