| composite_d_matrix | Matrix formula to estimate the standardized mean difference associated with a weighted or unweighted composite variable | 
| composite_d_scalar | Scalar formula to estimate the standardized mean difference associated with a composite variable | 
| composite_rel_matrix | Matrix formula to estimate the reliability of a weighted or unweighted composite variable | 
| composite_rel_scalar | Scalar formula to estimate the reliability of a composite variable | 
| composite_r_matrix | Matrix formula to estimate the correlation between two weighted or unweighted composite variables | 
| composite_r_scalar | Scalar formula to estimate the correlation between a composite and another variable or between two composite variables | 
| composite_u_matrix | Matrix formula to estimate the u ratio of a composite variable | 
| composite_u_scalar | Scalar formula to estimate the u ratio of a composite variable | 
| compute_alpha | Compute coefficient alpha | 
| compute_dmod | Comprehensive d_Mod calculator | 
| compute_dmod_npar | Function for computing non-parametric d_Mod effect sizes for a single focal group | 
| compute_dmod_par | Function for computing parametric d_Mod effect sizes for any number of focal groups | 
| conf.limits.nc.chisq | Confidence limits for noncentral chi square parameters (function and documentation from package 'MBESS' version 4.4.3) Function to determine the noncentral parameter that leads to the observed 'Chi.Square'-value, so that a confidence interval for the population noncentral chi-square value can be formed. | 
| confidence | Construct a confidence interval | 
| confidence_r | Construct a confidence interval for correlations using Fisher's z transformation | 
| confint | Confidence interval method for objects of classes deriving from 'lm_mat' | 
| control_intercor | Control function to curate intercorrelations to be used in automatic compositing routine | 
| control_psychmeta | Control for 'psychmeta' meta-analyses | 
| convert_es | Convert effect sizes | 
| convert_ma | Function to convert meta-analysis of correlations to d values or vice-versa | 
| convert_meta | Function to convert meta-analysis of correlations to d values or vice-versa | 
| correct_d | Correct d values for measurement error and/or range restriction | 
| correct_d_bias | Correct for small-sample bias in Cohen's d values | 
| correct_glass_bias | Correct for small-sample bias in Glass' Delta values | 
| correct_matrix_mvrr | Multivariate select/correction for covariance matrices | 
| correct_means_mvrr | Multivariate select/correction for vectors of means | 
| correct_r | Correct correlations for range restriction and/or measurement error | 
| correct_r_bias | Correct correlations for small-sample bias | 
| correct_r_coarseness | Correct correlations for scale coarseness | 
| correct_r_dich | Correct correlations for artificial dichotomization of one or both variables | 
| correct_r_split | Correct correlations for uneven/unrepresentative splits | 
| create_ad | Generate an artifact distribution object for use in artifact-distribution meta-analysis programs. | 
| create_ad_group | Generate an artifact distribution object for a dichotomous grouping variable. | 
| create_ad_list | Create a tibble of artifact distributions by construct | 
| create_ad_tibble | Create a tibble of artifact distributions by construct | 
| credibility | Construct a credibility interval | 
| data_d_bb_multi | Hypothetical _d_ value dataset simulated with sampling error only | 
| data_d_meas_multi | Hypothetical _d_ value dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructs | 
| data_r_bvdrr | Hypothetical dataset simulated to satisfy the assumptions of the bivariate correction for direct range restriction | 
| data_r_bvirr | Hypothetical dataset simulated to satisfy the assumptions of the bivariate correction for indirect range restriction | 
| data_r_gonzalezmule_2014 | Meta-analysis of OCB correlations with other constructs | 
| data_r_mcdaniel_1994 | Artifact-distribution meta-analysis of the validity of interviews | 
| data_r_mcleod_2007 | Bare-bones meta-analysis of parenting and childhood depression | 
| data_r_meas | Hypothetical dataset simulated to satisfy the assumptions of the correction for measurement error only | 
| data_r_meas_multi | Hypothetical correlation dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructs | 
| data_r_oh_2009 | Second order meta-analysis of operational validities of big five personality measures across East Asian countries | 
| data_r_roth_2015 | Artifact-distribution meta-analysis of the correlation between school grades and cognitive ability | 
| data_r_uvdrr | Hypothetical dataset simulated to satisfy the assumptions of the univariate correction for direct range restriction | 
| data_r_uvirr | Hypothetical dataset simulated to satisfy the assumptions of the univariate correction for indirect range restriction | 
| estimate_artifacts | Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios | 
| estimate_cor_prods | Estimation of statistics computed from products of random, normal variables | 
| estimate_cov_prods | Estimation of statistics computed from products of random, normal variables | 
| estimate_length_sb | Inverse Spearman-Brown formula to estimate the amount by which a measure would have to be lengthened or shorted to achieve a desired level of reliability | 
| estimate_mean_prod | Estimation of statistics computed from products of random, normal variables | 
| estimate_prod | Estimation of statistics computed from products of random, normal variables | 
| estimate_q_dist | Estimate descriptive statistics of square-root reliabilities | 
| estimate_rel_dist | Estimate descriptive statistics of reliabilities | 
| estimate_rel_sb | Spearman-Brown prophecy formula to estimate the reliability of a lengthened measure | 
| estimate_rxxa | Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios | 
| estimate_rxxa_u | Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios | 
| estimate_rxxi | Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios | 
| estimate_rxxi_u | Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios | 
| estimate_ryya | Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios | 
| estimate_ryyi | Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios | 
| estimate_u | Estimate u ratios from available artifact information | 
| estimate_up | Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios | 
| estimate_ut | Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios | 
| estimate_ux | Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios | 
| estimate_uy | Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios | 
| estimate_var_artifacts | Taylor series approximations for the variances of estimates artifact distributions. | 
| estimate_var_prod | Estimation of statistics computed from products of random, normal variables | 
| estimate_var_qxa | Taylor series approximations for the variances of estimates artifact distributions. | 
| estimate_var_qxi | Taylor series approximations for the variances of estimates artifact distributions. | 
| estimate_var_qya | Taylor series approximations for the variances of estimates artifact distributions. | 
| estimate_var_qyi | Taylor series approximations for the variances of estimates artifact distributions. | 
| estimate_var_rho_int | Non-linear estimate of variance of rho corrected for psychometric artifacts using numeric integration | 
| estimate_var_rho_int_bvdrr | Non-linear estimate of variance of rho corrected for psychometric artifacts using numeric integration | 
| estimate_var_rho_int_bvirr | Non-linear estimate of variance of rho corrected for psychometric artifacts using numeric integration | 
| estimate_var_rho_int_meas | Non-linear estimate of variance of rho corrected for psychometric artifacts using numeric integration | 
| estimate_var_rho_int_rb | Non-linear estimate of variance of rho corrected for psychometric artifacts using numeric integration | 
| estimate_var_rho_int_uvdrr | Non-linear estimate of variance of rho corrected for psychometric artifacts using numeric integration | 
| estimate_var_rho_int_uvirr | Non-linear estimate of variance of rho corrected for psychometric artifacts using numeric integration | 
| estimate_var_rho_tsa | Taylor Series Approximation of variance of rho corrected for psychometric artifacts | 
| estimate_var_rho_tsa_bvdrr | Taylor Series Approximation of variance of rho corrected for psychometric artifacts | 
| estimate_var_rho_tsa_bvirr | Taylor Series Approximation of variance of rho corrected for psychometric artifacts | 
| estimate_var_rho_tsa_meas | Taylor Series Approximation of variance of rho corrected for psychometric artifacts | 
| estimate_var_rho_tsa_rb1 | Taylor Series Approximation of variance of rho corrected for psychometric artifacts | 
| estimate_var_rho_tsa_rb2 | Taylor Series Approximation of variance of rho corrected for psychometric artifacts | 
| estimate_var_rho_tsa_uvdrr | Taylor Series Approximation of variance of rho corrected for psychometric artifacts | 
| estimate_var_rho_tsa_uvirr | Taylor Series Approximation of variance of rho corrected for psychometric artifacts | 
| estimate_var_rxxa | Taylor series approximations for the variances of estimates artifact distributions. | 
| estimate_var_rxxi | Taylor series approximations for the variances of estimates artifact distributions. | 
| estimate_var_ryya | Taylor series approximations for the variances of estimates artifact distributions. | 
| estimate_var_ryyi | Taylor series approximations for the variances of estimates artifact distributions. | 
| estimate_var_tsa | Taylor Series Approximation of effect-size variances corrected for psychometric artifacts | 
| estimate_var_tsa_bvdrr | Taylor Series Approximation of effect-size variances corrected for psychometric artifacts | 
| estimate_var_tsa_bvirr | Taylor Series Approximation of effect-size variances corrected for psychometric artifacts | 
| estimate_var_tsa_meas | Taylor Series Approximation of effect-size variances corrected for psychometric artifacts | 
| estimate_var_tsa_rb1 | Taylor Series Approximation of effect-size variances corrected for psychometric artifacts | 
| estimate_var_tsa_rb2 | Taylor Series Approximation of effect-size variances corrected for psychometric artifacts | 
| estimate_var_tsa_uvdrr | Taylor Series Approximation of effect-size variances corrected for psychometric artifacts | 
| estimate_var_tsa_uvirr | Taylor Series Approximation of effect-size variances corrected for psychometric artifacts | 
| estimate_var_ut | Taylor series approximations for the variances of estimates artifact distributions. | 
| estimate_var_ux | Taylor series approximations for the variances of estimates artifact distributions. | 
| generate_bib | Generate a list of references included in meta-analyses | 
| generate_directory | Generate a system of folders from a file path to a new directory | 
| get_ad | Extract results from a psychmeta meta-analysis object | 
| get_bootstrap | Extract results from a psychmeta meta-analysis object | 
| get_cumulative | Extract results from a psychmeta meta-analysis object | 
| get_escalc | Extract results from a psychmeta meta-analysis object | 
| get_followup | Extract results from a psychmeta meta-analysis object | 
| get_heterogeneity | Extract results from a psychmeta meta-analysis object | 
| get_leave1out | Extract results from a psychmeta meta-analysis object | 
| get_matrix | Extract results from a psychmeta meta-analysis object | 
| get_metafor | Extract results from a psychmeta meta-analysis object | 
| get_metareg | Extract results from a psychmeta meta-analysis object | 
| get_metatab | Extract results from a psychmeta meta-analysis object | 
| get_plots | Extract results from a psychmeta meta-analysis object | 
| get_stuff | Extract results from a psychmeta meta-analysis object | 
| matreg | Compute linear regression models and generate "lm" objects from covariance matrices. | 
| matrixreg | Compute linear regression models and generate "lm" objects from covariance matrices. | 
| ma_d | Meta-analysis of _d_ values | 
| ma_d_ad | Meta-analysis of _d_ values | 
| ma_d_barebones | Meta-analysis of _d_ values | 
| ma_d_bb | Meta-analysis of _d_ values | 
| ma_d_ic | Meta-analysis of _d_ values | 
| ma_d_order2 | Second-order meta-analysis function for _d_ values | 
| ma_generic | Bare-bones meta-analysis of generic effect sizes | 
| ma_r | Meta-analysis of correlations | 
| ma_r_ad | Meta-analysis of correlations | 
| ma_r_barebones | Meta-analysis of correlations | 
| ma_r_bb | Meta-analysis of correlations | 
| ma_r_ic | Meta-analysis of correlations | 
| ma_r_order2 | Second-order meta-analysis function for correlations | 
| merge_simdat_d | Merge multiple "simdat_d_database" class objects | 
| merge_simdat_r | Merge multiple "simdat_r_database" class objects | 
| metabulate | Write a summary table of meta-analytic results | 
| metabulate_rmd_helper | Add metabulate equation commands and LaTeX dependencies | 
| metareg | Compute meta-regressions | 
| mix_dist | Descriptive statistics for a mixture distribution | 
| mix_matrix | Estimate mixture covariance matrix from within-group covariance matrices | 
| mix_r_2group | Estimate the mixture correlation for two groups | 
| var_error_A | Estimate the error variance of the probability-based effect size (A, AUC, the common language effect size [CLES]) | 
| var_error_alpha | Analytic estimate of the sampling variance of coefficient alpha | 
| var_error_auc | Estimate the error variance of the probability-based effect size (A, AUC, the common language effect size [CLES]) | 
| var_error_cles | Estimate the error variance of the probability-based effect size (A, AUC, the common language effect size [CLES]) | 
| var_error_d | Estimate the error variance Cohen's d values | 
| var_error_delta | Estimate the error variance of Glass's Delta values | 
| var_error_g | Estimate the error variance Hedges's g values | 
| var_error_mult_R | Estimate the error variance of linear regression multiple _R_(-squared) | 
| var_error_mult_Rsq | Estimate the error variance of linear regression multiple _R_(-squared) | 
| var_error_q | Estimate the error variance of square roots of reliability estimates | 
| var_error_R | Estimate the error variance of linear regression multiple _R_(-squared) | 
| var_error_r | Estimate the error variance of correlations | 
| var_error_rel | Estimate the error variance of reliability estimates | 
| var_error_Rsq | Estimate the error variance of linear regression multiple _R_(-squared) | 
| var_error_r_bvirr | Taylor series approximation of the sampling variance of correlations corrected using the bivariate indirect range restriction correction (Case V) | 
| var_error_spearman | Estimate the error variance of Spearman rank correlations | 
| var_error_u | Estimate the error variance of u ratios |