NEWS.md

In Gengrui-Zhang/R2spa: An R package for two-stage path analysis (2S-PA) to adjust for measurement errors

R2spa 0.0.4

New Features

• Add function get_fs_int() for estimating interaction effects in 2S-PA (#82).
• Add computation of reliability function in get_fscore() (#81)
• Add functions of obtaining tidy-ed factor scores data for get_fscore() (#79)

Improvements

• Add examples for get_fs_int() (#82).
• Update naming for get_fscore() (#79)
  • Rename vc to ev (error variance-covariance) for better consistency

Bug Fixes

• Fix a bug in the se_fs argument in tspa() (#90).

Documentation

• Updated vignettes for:
  • tspa-growth-vignette (#50)
  • get_fs_int-vignette (#82)
  • reliability (#81)
  • missing-data (#79)

Other

• General code clean-up (#82).

R2spa 0.0.3

• Add function tspa_plot() for bivariate and residual plots (#23)

• get_fs() gains argument corrected_fsT for computing corrected error estimates (#50)

• New function vcov_corrected() for computing corrected SEs (#39)

• New function get_fs_lavaan() for computing factor scores and relevant matrices directly from a lavaan output (#61)

• Initial support for 2S-PA with OpenMx with tspa_mx()

• Update naming of relevant matrices when computing factor scores:

  • fsT: error covariance of factor scores
  • fsL: loading matrix of factor scores
  • fsb: intercepts of factor scores
  • scoring_matrix: weights for computing factor scores from items

• New vignettes for:

  • Corrected error variance of factor scores (#50)
  • Corrected standard errors incorporating uncertainty in measurement parameters of factor scores (#39)
  • Using 2S-PA with EFA scores
  • Using 2S-PA with OpenMx and definition variables (PR #57)
  • Latent interaction with categorical indicators (#27)
  • Growth modeling

• Better error messages for tspa() (#53)

• Support mean structure and growth model (#36, #19)

• Clean up code with lintr (#33)

R2spa 0.0.2

• Use pkgdown to create website, with GitHub action (#22)

• get_fs() now returns a list with multi-group models (#29).

• New function grandStandardizedSolution() computes standardized solution based on grand mean and grand SD (#13).

• tspa() gains argument vc and cross_loadings, which is useful for factor scores obtained from multi-factor models (#7). See vignette("multiple-factors").

R2spa 0.0.1

• Work-In-Progress!

• 0.0.1 version

Gengrui-Zhang/R2spa documentation built on Sept. 6, 2024, 5:01 p.m.