Changes in version 0.15.3 (2026-02-01) - The levels of multiple grouping variables no longer need to be unique across variables. - group differences are now consistently computed with 'focus group' - 'reference group', where reference group is defined by the reference level of a factor variable - bugfix in the computation of group differences when grouping variable has class 'integer' and BIFIEsurvey is called. Changes in version 0.15.2 (2025-04-30) - bugfix in the presentation of the regression table repGlm() - bugfix in sample size description on repTable() for engine = BIFIEsurvey - The direction of the group comparisons has been standardized so that the difference is reference group - focus group Changes in version 0.15.1 (2025-02-10) - bugfix in the presentation of the regression results (reporting function for repGlm()) - bugfix in the naming of the label column in the plain sheet of the reporting function report2() Changes in version 0.15.0 (2025-01-08) - multicore computation is supported for all analyses using the survey package - computation of group differences using 'group.differences.by' now also works for adjusted means - for weighted analyses, the eatRep functions now remove zero weight cases prior to analyses to avoid counting them when determining sample size - the eatRep functions now issue more informative alerts if missings occur on dependent/independent or jackknife variables. Missing occurrences concerned as crucial will be caught with an error message - enhanced warning messages if number of nests/imputations differ between grouping variables - enhanced warning messages if number of jkrep units differ between nests/imputations - bugfix in the cross-level differences of group differences computation - bugfix if levels of grouping variables contain leading and/or trailing spaces - new function report2 which summarizes the output of the four main functions a little tidier and provides an interface for eatPlot. The old reporting function report() is deprecated - new function pool.R2 computes pooled R^2 for multiple imputed and nested multiple imputed regression analyses according to Harel (2009) Changes in version 0.14.7 (2023-03-26) - exemplary with variable labels stored as attributed - add 'jkfac' argument to functions which call BIFIEsurvey functions - trend analyses (with warning messages) now are possible when levels of grouping variables differ between assessment cycles - bug fix in the internally used function which checks linking error object for consistency - bug fix in repLmer when no weights are defined - reporting function was slightly simplified (i.e., remove additional target formats) Changes in version 0.14.6 (2022-11-18) - add function repLmer() for replication methods for linear multilevel models (wrapper to BIFIEsurvey::BIFIE.twolevelreg()) - bug fix in internally used check function whether levels of grouping variable(s) are equal across assessment cycles (trend groups) - bug fix in singularity treatment of repGlm() - bug fix in repQuantile() - add Ns (sample size) to the output of repTable() function - add tests for repQuantile() and repLmer() Changes in version 0.14.5 (2022-07-08) - compatibility with lavaan version 0.6-12 Changes in version 0.14.4 (2022-06-29) - bug fix in computation of adjusted weighted means - enhance performance in recursive calls (e.g., trend estimation) Changes in version 0.14.3 (2022-05-14) - add alternative output formats for the reporting function (argument target) - bug fix in standard error computation of trend estimates - bug fix in repQuantile when using 0% or 100% percentil - enhance performance when using the BIFIEsurvey wrapper Changes in version 0.14.0 (2022-02-01) - sorting of parameters and determination coefficient enhanced in reporting function for repGlm() - add function checkLEs which checks consistency of linking errors with data which stem from an eatGADS data base - trend estimation was broadened for more than two measurement occasions - add class identifier in exemplary data Changes in version 0.13.7 (2021-10-28) - add CR0 and CR2 methods for weighted effect coding with heterogeneous variances in repMean() and repGlm(), including a cluster argument - add class ID variable to example data set - bug fix: fixed inadequate column definition in the reporting function for repQuantile() - adapt repQuantile function for rewritten function svyquantile from the survey package - slightly revised vignette Changes in version 0.13.6 (2021-08-10) - add asterisks for significance in the console output of the reporting function for repGlm() - bug fix: fixed inadvertent warning message in function for group checks - bug fix: call svyby with return.replicates = FALSE for quantile function Changes in version 0.13.5 (2021-03-02) - added vignette - added a balanced repeated replication example in the examples for repMean() - added an internal check that persons are nested within groups Bug Fixes - fixed report for cross differences when levels of grouping variable contained the variable name - fixed missing entries in mode column in the output of repMean() - eatRep::repMean(...) now works as well as library(eatRep); repMean(...) - added tests for repGlm() function Changes in version 0.13.4.9000 - Switch to Github Action for CI Changes in version 0.13.4 (2021-01-08) - Initial CRAN release