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Releases: Kss2k/plssem

CRAN release version 0.1.3

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@Kss2k Kss2k released this 05 Jul 12:43

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 unstandardized argument to summary() 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=FALSE when 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

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@Kss2k Kss2k released this 18 Jun 13:17

What's Changed

  • Fix reindexing logic of X.ord in pls_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::txtProgressBar and future package 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

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@Kss2k Kss2k released this 29 Apr 11:56

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.R by @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