Releases: Kss2k/plssem
Releases · Kss2k/plssem
Release list
CRAN release version 0.1.3
What's Changed
- Get delta-method standard errors for redundant parameters by @Kss2k in #50
- Add delta method standard errors for thresholds by @Kss2k in #51
- Optimize calculation of delta standard errors by @Kss2k in #52
- Add
unstandardized_estimates()function by @Kss2k in #53 - Add lower bound for variance parameters in mcpls by @Kss2k in #54
- Add
unstandardizedargument tosummary()by @Kss2k in #55 - Add vignettes on
unstandardized_estimates()by @Kss2k in #58 - Add MIMIC mode for handling constructs with both reflective and formative indicators by @Kss2k in #59
- Add
pls_inspect()method by @Kss2k in #60 - Set
eval=FALSEwhen building vignettes, unless building with pkgdown by @Kss2k in #61 - Stricter checking/validation of inputs to
pls()by @Kss2k in #62 - Add GLS estimator for estimatin the path/structural model by @Kss2k in #63
- Cleaner handling of temp variables with no paths by @Kss2k in #65
- Allow residual covariances with enogenous latent variables with MC-PLS by @Kss2k in #67
- Refactor gradient calculation for GLS estimator by @Kss2k in #68
- Check if unicode is supported, before printing unicode characters by @Kss2k in #71
- Report inadmissible bootstraps, and add option for dropping them when computing standard errors by @Kss2k in #72
- Remove unused arguments in
modGetWidthPrintedParTable()by @Kss2k in #75 - Set default bootstrap replications to 500 by @Kss2k in #76
- Better handling of negative residual variances in MC-PLS algorithm by @Kss2k in #77
- Add
start()syntax for MC-PLS by @Kss2k in #80 - Implement loglikelihood based fit measure for MC-PLS estimator by @Kss2k in #81
- Generate dynamic lower and upper bounds to keep the MC-PLS solution admissible by @Kss2k in #82
Full Changelog: v0.1.2...v0.1.3
CRAN release version 0.1.2
What's Changed
- Fix reindexing logic of
X.ordinpls_predict()by @Kss2k in #19 - Refactor/design cleanup pr3 estimation pipeline by @Kss2k in #27
- Revert "Refactor/design cleanup pr3 estimation pipeline" by @Kss2k in #28
- Add pkgdown workflow by @Kss2k in #35
- Transition to S4 by @Kss2k in #20
lmerControl(calc.derivs=FALSE)by @Kss2k in #36- MC-PLSc and MC-OrdPLSc for Multilevel/Mixed-Effects Models by @Kss2k in #37
- User warnings by @Kss2k in #38
- Faster (biased) GLS Based Estimator in MC-PLS Mixed-Effects Models by @Kss2k in #39
- Set polyak.juditsky to TRUE by default for Mixed models by @Kss2k in #40
- Polyak Juditsky Extrapolation by @Kss2k in #41
- Switch to
utils::txtProgressBarandfuturepackage by @Kss2k in #43 - New vignette by @Kss2k in #44
- Follow lavaan condition message standard by @Kss2k in #45
- Wrap ... in paste0(...) with lav_msg(...) by @Kss2k in #46
- Monte-Carlo Delta-Method Standard Errors by @Kss2k in #47
Full Changelog: v0.1.1...v0.1.2
CRAN release version 0.1.1
What's Changed
- Parallel bootstrapping by @Kss2k in #4
- Try penalizing inadmissible solutions by @Kss2k in #5
- Add optimized bootstrapping of MC-OrdPLSc models by @Kss2k in #6
- Convert covariance matrices to correlation matrices in
R/mcpls.Rby @Kss2k in #7 - Logo by @Kss2k in #8
- Predict by @Kss2k in #9
- Add citation for preprint by @Kss2k in #10
- Add kNN imputation of missing values by @Kss2k in #16
- Add mean imputation by @Kss2k in #17
- Higher order by @Kss2k in #18
Full Changelog: https://github.com/Kss2k/plssem/commits/v0.1.1