adjust_n_d              Adjusted sample size for a non-Cohen _d_ value
                        for use in a meta-analysis of Cohen's _d_
                        values
adjust_n_r              Adjusted sample size for a non-Pearson
                        correlation coefficient for use in a
                        meta-analysis of Pearson correlations
anova.ma_psychmeta      Wald-type tests for moderators in psychmeta
                        meta-analyses
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_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_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_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
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_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_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_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_u              Estimate u ratios from available artifact
                        information
estimate_var_artifacts
                        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_tsa    Taylor Series Approximation of variance of rho
                        corrected for psychometric artifacts
estimate_var_tsa        Taylor Series Approximation of effect-size
                        variances corrected for psychometric artifacts
filter_ma               Filter meta-analyses
format_num              Format numbers for presentation
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_stuff               Extract results from a psychmeta meta-analysis
                        object
heterogeneity           Supplemental heterogeneity statistics for
                        meta-analyses
limits_tau              Confidence limits of tau
limits_tau2             Confidence limits of tau-squared
lm_mat                  Compute linear regression models and generate
                        "lm" objects from covariance matrices.
ma_d                    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_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
plot_forest             Create forest plots
plot_funnel             Create funnel plots
predict                 Prediction method for objects of classes
                        deriving from 'lm_mat'
print                   Print methods for *'psychmeta'*
psychmeta-package       'psychmeta': Psychometric meta-analysis toolkit
reattribute             Copy class and attributes from the original
                        version of an object to a modified version.
reshape_mat2dat         Extract a long-format correlation database from
                        a correlation matrix and its supporting
                        vectors/matrices of variable information
reshape_vec2mat         Assemble a variance-covariance matrix
reshape_wide2long       Reshape database from wide format to long
                        format
sensitivity             Sensitivity analyses for meta-analyses
simulate_alpha          Generate a vector of simulated sample alpha
                        coefficients
simulate_d_database     Simulate d value databases of primary studies
simulate_d_sample       Simulate a sample of psychometric d value data
                        with measurement error, direct range
                        restriction, and/or indirect range restriction
simulate_matrix         Generate a list of simulated sample matrices
                        sampled from the Wishart distribution
simulate_psych          Simulate Monte Carlo psychometric data
                        (observed, true, and error scores)
simulate_r_database     Simulate correlation databases of primary
                        studies
simulate_r_sample       Simulation of data with measurement error and
                        range-restriction artifacts
sparsify_simdat_d       Create sparse artifact information in a
                        "simdat_d_database" class object
sparsify_simdat_r       Create sparse artifact information in a
                        "simdat_r_database" class object
summary                 Summary methods for 'psychmeta'
truncate_dist           Truncation function for normal distributions
                        (truncates both mean and variance)
truncate_mean           Truncation function for means
truncate_var            Truncation function for variances
unmix_matrix            Estimate average within-group covariance
                        matrices from a mixture covariance matrix
unmix_r_2group          Estimate the average within-group correlation
                        from a 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_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_q             Estimate the error variance of square roots of
                        reliability estimates
var_error_r             Estimate the error variance of correlations
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_rel           Estimate the error variance of reliability
                        estimates
var_error_spearman      Estimate the error variance of Spearman rank
                        correlations
var_error_u             Estimate the error variance of u ratios
wt_cov                  Compute weighted covariances
wt_dist                 Weighted descriptive statistics for a vector of
                        numbers
