multid - multid 1.0.0

• Added a possibility to run ddsc_ml with just two observations per upper-level unit
• Added a possibility to obtain bootstrap estimates and percentile confidence intervals for non-scaled parameter estimates in ddsc_ml results-table
• Added confidence intervals for ddsc_ml results table
• Added a possibility to bootstrap in ddsc_sem
• mldadas and semdadas deprecated (superceded by ddscml and ddscsem)
• Added plotddsc function for directly plotting ddscsem results
• Removed mldadas and semdadas from README examples. Replaced with ddscml and ddscsem

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Published by vjilmari about 2 years ago

multid - multid 0.9.0

• Renamed variancetest output in ddscsem
• Added ddsc_ml -function for deconstructing difference score correlation with multi-level modeling

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Published by vjilmari about 2 years ago

multid - multid 0.8.0

multid 0.8.0

• Fixed a typo in D_regularized manual
• Added difference between two dependent correlations -function (difftwodep_cors) which enables simultaneous estimation and testing of Cohen's q under variable dependency
• Added possibility to use manually constructed regularization and estimation datasets, supplied as a list of two dataframes to "data"-argument in D_regularized
• Improved the output of difftwodep_cors and included an argument for missing data ("ML")
• Improved clarity in multivariate sex difference vignette
• Added value_correlation -function for testing and quantifying how ipsatizing values influences associations with other variables
• Added ddsc_sem -function for deconstructing difference score correlation with structural equation modeling

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Published by vjilmari almost 3 years ago

multid - multid 0.7.1

• Added na.rm to qcc bootstrap summary over tau-values
• Added main and interaction effects, and comparison of their absolute magnitudes to mldadas and semdadas outputs
• Added moderator/intercept difference estimates for dadas-functions
• Added abscoefdifftest in semdadas and ml_dadas to enable tests for slope difference that is not against null but a different numeric value
• Added an estimate of scaled difference of slopes for ml_dadas and a derived estimate of component correlation
• Fixed URLs and output in README

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Published by vjilmari over 3 years ago

multid - multid 0.7.0

multid 0.7.0

• Switched from sample to dplyr::sample_n for bootstrap example in the multivariate sex difference vignette
• Minor changes to style and text in the multivariate sex difference vignette
• Additional descriptive statistics to reliability_dms output
• Allow vpc_at for models with no intercept-slope covariation (conditional level-2 variances are same for all requested level-1 values)
• Added function qcc for quantile correlation coefficient
• Updated README

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Published by vjilmari over 3 years ago

multid - multid 0.6.0

multid 0.6.0

• Bug fixed in Dregularizedout
• Addend.data argument added to all D_regularized -functions. In _fold -functions, test-partition of the data is appended, else the entire data frame is added.
• Include ICC2 (group-mean reliability) for vpc_at. Enables calculation of sub-group mean-level reliabilities, in case the "at" is a group
• Include reliability_dms that calculates difference score reliability coefficient for data that is difference score between two mean values across some upper-level units (e.g., sex differences across countries)
• Vignette on estimation of multivariate sex differences with multid addede

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Published by vjilmari almost 4 years ago

multid - multid 0.5.0

multid 0.5.0

• Added option to obtain scaled estimates in ml_dadas. Scaling is done for both difference score components and the difference scores, based on random intercept SDs and random slope SD, respectively, in a reduced model without the predictor and the interaction between predictor and moderator
• Added option to test for random effect covariation with likelihood ratio test in ml_dadas from a reduced model without the predictor and the interaction between predictor and moderator
• Added option to include covariates in sem_dadas
• Added variance test with sem in sem_dadas
• Added variance test via parametric bootstrap in ml_dadas
• Added cvv_manual -function for calculation of coefficients of variance variation from manually inputted sample sizes and variances of multiple variables

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Published by vjilmari almost 4 years ago

multid - multid 0.4.0

multid 0.4.0

• Replaced two-sided tests in sem_dadas for absolute parameters with one-sided tests
• Added three variants of coefficient of variance variation in cvv -function (CVV=coefficient of variance variation, SVH=standardized variance heterogeneity, and VR=variance ration between the largest and the smallest variance)
• Added vpc_at -function for calculation of intercept variances and variance partition coefficients (VPCs) at selected values of level-1 predictors in two-level models

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Published by vjilmari about 4 years ago

multid - multid 0.3.0

• Added semdadas and mldadas functions for predicting algebraic difference scores in structural equation (semdadas) and multilevel model (mldadas). DADAS acronym follows from the joint hypothesis test of Difference between Absolute Differences and Absolute Sums between (regression coefficients on difference score components)
• Added more examples to README file

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Published by vjilmari about 4 years ago

multid - multid 0.2.0

• Fixed bug: renaming output in Dregularizedfold functions
• Fixed joining data frames by fold.var in Dregularizedfold functions
• Added statistical inference to dpooledsd
• Added probabilities of correct classification option to Dregularizedout and Dregularizedfold_out
• Added area under the receiver operating characteristics to Dregularizedout and Dregularizedfold_out
• Added probability classification tables to Dregularizedout and Dregularizedfold_out
• Added more examples to README file

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Published by vjilmari over 4 years ago

multid - multid 0.1.0

multid 0.1.0

• First submission of multid package

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Published by vjilmari over 4 years ago