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| configural-package | 'configural': An R package for profile analysis |
| %&% | Quadratic form matrix product |
| adjust_Rsq | Adjust a regression model R-squared for overfitting |
| configural | 'configural': An R package for profile analysis |
| configural_news | Retrieve the NEWS file for the configural package |
| cor_covariance | Calculate the asymptotic sampling covariance matrix for the unique elements of a correlation matrix |
| cor_covariance_meta | Estimate the asymptotic sampling covariance matrix for the unique elements of a meta-analytic correlation matrix |
| cor_labels | Generate labels for correlations from a vector of variable names |
| cpa_mat | Conduct criterion profile analysis using a correlation matrix |
| cpa_scores | Compute CPA level and pattern scores for a set of data |
| cvec | Vectorize a matrix |
| disorders | Meta-analytic correlations among Big Five personality traits and psychological disorders |
| fungible | Locate extrema of fungible weights for regression and related models |
| fungible.cpa | Locate extrema of fungible criterion profile patterns |
| fungible.lm | Locate extrema of fungible OLS regression weights |
| gre | Meta-analytic correlations of Graduate Record Examination subtests with graduate grade point average |
| harmonic_mean | Find the harmonic mean of a vector, matrix, or columns of a data.frame |
| hrm | Meta-analytic correlations of HRM practices with organizational financial performance |
| jobchar | Meta-analytic correlations of job characteristics with performance and satisfaction |
| mindfulness | Meta-analytic correlations among Big Five personality traits and trait mindfulness |
| n_effective_R2 | Effective sample size |
| prejudice | Correlations between study design moderators and effect sizes for prejudice reduction following intergroup contact |
| rvec | Vectorize a matrix |
| team | Meta-analytic correlations among team processes and team effectiveness |
| var_error_cpa | Estimate the sampling error variance for criterion profile analysis parameters |
| vech | Vectorize a matrix |
| vech2full | Inverse vectorize a matrix |
| vechs | Vectorize a matrix |
| vechs2full | Inverse vectorize a matrix |
| wt_cor | Compute weighted covariances |
| wt_cov | Compute weighted covariances |
| wt_dist | Weighted descriptive statistics for a vector of numbers |
| wt_mean | Weighted descriptive statistics for a vector of numbers |
| wt_var | Weighted descriptive statistics for a vector of numbers |