+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ------------------------ srm NEWS --------------------------- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Questions or suggestions about srm should be sent to robitzsch@ipn.uni-kiel.de ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ CHANGELOG srm ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -------------------------------------------------------------------------- VERSIONS srm 0.4 | 2022-11-03 | Last: srm 0.4-26 -------------------------------------------------------------------------- NOTE * changed several defaults for models with constraints FIXED * fixed a bug for models in which a regression is involved FIXED * fixed incorrect summary output: some covariance estimates were incorrectly removed (thanks to @TDJorgensen, Github issue #1) FIXED * bug fixes in parsing files for model syntax FIXED * fixed CRAN issue regarding Rcpp code DATA * --- EXAMP * --- -------------------------------------------------------------------------- VERSIONS srm 0.3 | 2019-12-15 | Last: srm 0.3-6 -------------------------------------------------------------------------- FIXED * changed internal function SRM_PINV() which relied on class request. Since R 4.0, matrix is of class "matrix" and "array" which caused the problem. DATA * --- EXAMP * --- -------------------------------------------------------------------------- VERSIONS srm 0.2 | 2019-08-30 | Last: srm 0.2-10 -------------------------------------------------------------------------- NOTE * changed default layout of summary function and included argument 'layout' in summary() ADDED * included datasets downloaded from homepage of David Kenny (thanks to David Kenny) DATA * HallmarkKenny, Kenzer, Malzer, Warner, Zero EXAMP * --- -------------------------------------------------------------------------- VERSIONS srm 0.1 | 2019-06-18 | Last: srm 0.1-166 -------------------------------------------------------------------------- ADDED * added ML estimation function srm() ADDED * included least squares estimation ARBSRM routine (Bond & Malloy, 2018) in srm_arbsrm() DATA * data.bm1, data.bm2, data.srm01, data.back EXAMP * srm (1,2,3), srm_arbsrm (1)