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).
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.
eval_module() gains match_keys
parameter for flexible data-mcnode matching.
eval_module() now supports multiple
prev_mcmodule data names.
eval_module() improves R function handling within
mcmodule expressions.
trial_totals() now supports agg_suffix
skipping.
at_least_one() improves agg_keys
combination.
Fixed missing agg_suffix handling.
Fixed dimension matching for aggregated nodes.
Fixed prefix issues in combined probability nodes.
NA removal added in key columns.
Added tests for totals custom names and various dimension matching scenarios.
dontrun with donttest, added vignette
link to DESCRIPTION, and included citation file.