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Changelog

Source: NEWS.md

tidySEM 0.3.0

  • tidySEM now supports mixture models estimated with the metamixture package
  • Bugfixes and improvements to pmc(), mixture_starts(), BCH(), and pseudo_class()
  • Added two_step(), mx_diagnostics()
  • table_results() now handles thresholds, fixed parameters, robust standard errors, and profile likelihood confidence intervals better
  • Improved precision of entropy criterion, reported by table_fit() for mixture models
  • Pass argument extraTries in mx_lca() to OpenMx’s mxTryHardOrdinal() model fit routine

tidySEM 0.2.13

  • Change behavior of descriptives.factor() to not count NA as a unique value

tidySEM 0.2.12

CRAN release: 2026-09-08

  • Make igraph a suggest
  • Bugfixes to pseudo_class()
  • Export format_numeric()
  • Add random_starts()

tidySEM 0.2.11

CRAN release: 2026-08-20

  • Add deviances_to_thresholds() to reparametrize models with ordinal indicators after they have been run, e.g. to facilitate specifying Wald tests.
  • pmc() deprecates pmc_srmr() function
  • Add srmr() function
  • as_ram() gains argument threshold_method
  • Export mx_deviances()
  • Fix bug in get_edges() and get_nodes() for multigroup lavaan models with user- defined quantities (:=), issue #109.
  • skew_kurtosis: Add the option to output Pearson’s kurtosis alongside excess kurtosis, and modify the formula for significance to refer to excess kurtosis; see issue #127.
  • skew_kurtosis: Update to corrected skewness and kurtosis values, implement option to output uncorrected values instead; see issue #127.
  • Modify the skew_kurtosis methods for matrices and data frames: Add new arguments, make sure arguments are passed down, and remove doubled .matrix function. See issue #127.

tidySEM 0.2.10

CRAN release: 2026-01-11

  • Export predict_class() instead of masking OpenMx::predict.mxModel() with tidySEM::predict.mxModel()
  • Add pmc_srmr() for class enumeration
  • Add mx_mixed_lca() for latent class analysis with continuous and categorical indicators.
  • Add mx_data_quantiles() for data-driven starting values for categorical indicators.
  • Internal mixgrads() function is now incorporated in OpenMx version >= 2.21.13, so require that version and rely on OpenMx::imxRowGradients()
  • Rewrite run_mx()
  • Bugfix to plot_density()
  • Bugfix to graph_sem()
  • Bugfix to table_results.mxModel()
  • Fix GitGub issue #116: lavaan is deprecating lavaan:::vnames, replaced with lavaan::lavNames()
  • Fix GitHub issue #115: Wald tests resulted in empty data.frame when progress was not loaded.
  • Vignettes should show that OpenMx must be loaded in order to run functions that depend on it (i.e., latent class analyses)
  • Remove spaces from lavaan operators to be compatible with new parser

tidySEM 0.2.9

CRAN release: 2025-07-30

  • Make it clear that OpenMx functions require a library(OpenMx) call
    • Updated examples and vignettes
    • Add informative message() to run_mx() in case OpenMx is not loaded
  • Add support for igraph: get_nodes.igraph(), get_edges.igraph(), get_layout.igraph()
  • Fix bug in plot_bivariate()
  • Fix CRAN check on r-release-macos-arm64: Do not error but instead print message and return NULL when mice is not installed.

tidySEM 0.2.8

CRAN release: 2025-03-04

  • Make OpenMx a Suggest instead of an Import
  • Improve parsing of dagitty objects
  • Allow floating point coordinates in layouts of class tidy_layout (mostly for dagitty plots)
  • Fix CRAN check NOTES:
    • “Rd file(s) with Rd targets missing package anchors”

tidySEM 0.2.7

CRAN release: 2024-06-04

  • Stop calling tidySEM functions as default arguments of prepare_graph.lavaan(). This ensures that tidySEM works when its namespace is not attached.
  • Frank Gootjes contributed pseudo class functionality, new functions are append_class_draws() and pseudo_class()

tidySEM 0.2.6

CRAN release: 2023-10-24

  • Fix bug in BLRT()
  • Patch to anticipate change in lavaan parser that would break add_paths()
  • Improve vignette Generating_syntax.Rmd

tidySEM 0.2.5

CRAN release: 2023-10-10

  • Add reference to best practices paper
  • Include vignettes corresponding to the appendices of that paper
  • Correct implementation of lr_lmr() using nonnest2::vuongtest()

tidySEM 0.2.4

CRAN release: 2023-05-01

  • Update maintainer email address
  • Fixed bug in plot_profiles() when covariances are free
  • Improved starting values for latent class analysis
  • Documentation incorrectly referred to data_mixture_ordinal, instead of data_mix_ordinal
  • Added legend to plot_probs()
  • Added np_ratio and np_local to table_fit() output for mixture models
  • Reimplement BLRT() to avoid slow OpenMx implementation
  • Add functions lr_test() and lr_lmr()

tidySEM 0.2.3

CRAN release: 2022-04-14

tidySEM 0.2.2

CRAN release: 2022-04-06

  • table_fit() now reports information criteria with parameter penalty
  • BCH() now accepts an MxModel as auxiliary model
  • Prevent Mplus tests from throwing error on CRAN

tidySEM 0.2.1

CRAN release: 2022-02-09

  • Fix CRAN check errors related to OpenMx
  • Add mx_lca(), a dedicated function for estimating mixture models with ordinal/binary data that avoids convergence problems when using mx_mixture() with those data types
  • Add table_prob() to tabulate category probabilities for models with ordinal indicators
  • Add plot_prob() to plot category probabilities for models with ordinal indicators

tidySEM 0.2.0

CRAN release: 2021-11-16

  • Add functions for OpenMx
  • Add functions for mixture models
  • Add methods for chisq_sb()
  • Minor bugfixes and feature enhancements

tidySEM 0.1.9

CRAN release: 2021-04-20

  • Removed LazyData entry from DESCRIPTION (no data included in package)
  • Add methods for mplusObjects
  • Fixed bug where nodes from multilevel models were incorrectly merged, due to lack of within-level intercepts
  • Fixed bug where get_layout did not work for multilevel models because it used table_results() instead of get_edges()
  • Fixed bug in create_scales

tidySEM 0.1.8

CRAN release: 2021-03-13

  • Fixed bug where table_results() was broken by renaming ‘label’ column to ‘mplus_label’

tidySEM 0.1.7

CRAN release: 2021-03-11

  • Fixed several bugs in plotting, caused by multiple columns called “label” generated by mplus and lavaan, which overlap with the “label” column used for plotting. Renamed other “label” columns to “mplus_label” and “lavaan_label”
  • Fixed bug where arguments were not passed from prepare_graph() and graph_sem() to get_nodes() and get_edges(), e.g., digits was not passed on
  • Fixed bug where linetype did not work when using a mix of numeric (e.g., 1) and character (e.g., “dashed”) values
  • Node labels can now be customized just like edge labels
  • Added convenience functions to conditionally customize graphs based on if_edit(), e.g.: sig_colour(plot, “green”)
  • Improved functionality of edit_graph() methods
  • Added wrappers for edit_graph(): edit_edges() and edit_nodes()
  • graph_sem(fix_coord = TRUE) now works for multi-group models

tidySEM 0.1.6

CRAN release: 2021-02-19

  • Fixed another faulty URI in README.md

tidySEM 0.1.5

  • Fixed URI in README.md

tidySEM 0.1.4

  • Fixed bug in direction of arrow for curved paths
  • Support argument “color” in addition to “colour”
  • The “label” argument of get_edges() and get_nodes() now accepts an expression, that is evaluated in the context of a data.frame generated by table_results(). This allows users to specify compound labels.

tidySEM 0.1.3

CRAN release: 2020-10-09

  • Changed arguments for graph_sem.lavaan and graph_sem.mplus.model; these gain arguments “label”, “edges”, “layout”, and “nodes”, which apply get_edges(), get_layout(), and get_nodes() to the model argument, respectively, passing on the “label” argument to get_edges() and get_nodes().
  • The default label has been changed to “est_sig” throughout the package. Some functions used “est_sig_std” instead.
  • Minor bugfixes
  • Fix bug where > 26 nodes resulted in wrong plot

tidySEM 0.1.2

CRAN release: 2020-06-25

  • create_scales() no longer writes .csv files
  • add_paths() now relies on lavaanify(lavParseModelString()), uses the lavaan parameter table, and accepts all arguments of lavaanify(), with default arguments same as sem() and cfa()
  • measurement() uses add_paths() for consistency
  • graph_sem.lavaan() and graph_sem.mplus.model() gain an argument label = "est_sig", so users can easily select custom labels.
  • New vignette about SEM plotting conventions.
  • graph_sem() adds empty labels for nodes without a mean; in version 0.1.1, such nodes were displayed without any node label.

tidySEM 0.1.1

  • Addressed comment by CRAN maintainer Jelena Saf
  • Minor bug fixes

tidySEM 0.1.0

  • First CRAN release.