A C D E F G H L M P R S T U V W
psychmeta-package | 'psychmeta': Psychometric meta-analysis toolkit |
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_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. |
filter_ma | Filter meta-analyses |
filter_meta | 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_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 |
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. |
lm_matrix | Compute linear regression models and generate "lm" objects from covariance matrices. |
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 |
plot_cefp | Create funnel plots |
plot_forest | Create forest plots |
plot_funnel | Create funnel plots |
predict | Prediction method for objects of classes deriving from 'lm_mat' |
Print methods for *'psychmeta'* | |
psychmeta | '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 |
sensitivity_bootstrap | Sensitivity analyses for meta-analyses |
sensitivity_cumulative | Sensitivity analyses for meta-analyses |
sensitivity_leave1out | 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_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 |
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 |