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
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_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
confidence              Construct a confidence interval
confidence_r            Construct a confidence interval for
                        correlations using Fisher's z transformation
convert_es              Convert effect sizes and compute confidence
                        intervals
convert_ma              Function to convert meta-analysis of
                        correlations to d values or vice-versa
correct_d               Correct _d_ values for range restriction and/or
                        measurement error
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 artifical
                        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.
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
                        statisfy the assumptions of the correction for
                        measurement error only in multiple constructs
data_r_bvdrr            Hypothetical dataset simulated to statisfy the
                        assumptions of the bivariate correction for
                        direct range restriction
data_r_bvirr            Hypothetical dataset simulated to statisfy 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 statisfy the
                        assumptions of the correction for measurement
                        error only
data_r_meas_multi       Hypothetical correlation dataset simulated to
                        statisfy 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 statisfy the
                        assumptions of the univariate correction for
                        direct range restriction
data_r_uvirr            Hypothetical dataset simulated to statisfy 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
generate_directory      Generate a system of folders from a file path
                        to a new directory
heterogeneity           Supplemental heterogeneity statistics for
                        meta-analyses
ma_d                    Master framework for meta-analysis of _d_
                        values
ma_d_ad                 Artifact-distribution meta-analysis of _d_
                        values
ma_d_bb                 Bare-bones meta-analysis of _d_ values
ma_d_ic                 Individual-correction meta-analysis of _d_
                        values
ma_d_order2             Second-order meta-analysis function for _d_
                        values
ma_r                    Master framework for meta-analysis of
                        correlations
ma_r_ad                 Artifact-distribution meta-analysis of
                        correlations
ma_r_bb                 Bare-bones meta-analysis of correlations
ma_r_generic            Bare-bones meta-analysis of generic effect
                        sizes
ma_r_ic                 Individual-correction meta-analysis of
                        correlations
ma_r_order2             Second-order meta-analysis function for
                        correlations
merge_simdat_d          Merge multiple "simdat_d" class objects
merge_simdat_r          Merge multiple "simdat_r" class objects
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
psychmeta-package       'psychmeta': Psychometric meta-analysis toolkit
psychmeta_news          Retrieve the NEWS file for the psychmeta
                        package
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" class object
sparsify_simdat_r       Create sparse artifact information in a
                        "simdat_r" class object
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_alpha         Analytic estimate of the sampling variance of
                        alpha
var_error_d             Estimate the error variance Cohen's d values
var_error_delta         Estimate the error variance of Glass' delta
                        values
var_error_g             Estimate the error variance Hedge's g values
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
                        Case V correction for indirect range
                        restriction
var_error_rel           Estimate the error variance of reliability
                        estimates
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
