Package index • mars

Core MARS Models

Fit univariate, multivariate, multilevel, and related MARS models.

mars(): Fit MARS Meta-Analytic Models
estimation(): Master Estimation Function
mixed_corr_meta(): Mixed Correlation Matrix for Meta-Analytic Path Modeling
corr_to_mars(): Convert a Mixed Correlation Object to a mars-Compatible Object
masmr() summary(<masmr>) print(<summary.masmr>): Methodology-Adjusted Substantive Meta-Regression (MASMR)
model_fit(): Fit Path Models to a Correlation Matrix
path_model(): Path Model Function
find_reg_coef(): Find regression coefficients
find_B(): Estimate Regression Coefficients from a Correlation Matrix
Mul_R2(): Mul R2
c_mat_ft(): Build Implied Correlation Matrices for Observed Path Models
OS(): Olkin & Siotani 1976 variance-covariance numerator
olkin_siotani(): Olkin & Siotani variance-covariance matrix
tau_u_computation(): Tau U effect size
hsmd() print(<hsmd>): Harmonized Standardized Mean Differences
hsmd_effect_sizes(): Compute HSMD effect-size columns

profile_likelihood(): Profile Likelihood for mars Models
profile_random_effects(): Profile Likelihood for Random-Effects Variance Parameters
plot(<profile_likelihood>): Plot Profile-Likelihood Curves

residuals(<mars>): Residuals for MARS Models
residual_diagnostics(): Residual Diagnostics for MARS Models
plot_residual_panel(): Plot residual diagnostics panels for MARS models
influence_diagnostics(): Influence Diagnostics for MARS Models
publication_bias(): Publication Bias Adjustment
funnel_plot(): Funnel Plot for Publication-Bias Models
selection_plot() plot(<pub_bias>): Selection-Function Plot for Publication-Bias Models

bootstrap_mars(): Boostrap mars wrapper
replicate_bootstrap(): Replicate the bootstrap computations
sample_jackknife(): Jackknife mars wrapper
replicate_jackknife(): Replicate the jackknife computations
permutation_mars(): Permutation mars wrapper
replicate_permutation(): Replicate the permutation computations
conduct_permutation(): Conduct permutation computations
mars_alt_estimation(): Primary main alternative estimation function
compute_alt_stats(): Compute summaries from alternative estimation replications
plot(<mars_boot>): Plot alternative-estimation replications

network_meta(): Network Meta-analysis with MARS
predict(<nma_mars>): Predict treatment contrasts from a fitted network_meta model
network_pairwise_data(): Convert arm-level study data to contrast-level network meta-analysis data
network_league_table(): Create a formatted league table from a fitted network meta-analysis
network_prediction_intervals(): Prediction intervals for all network treatment contrasts
network_design_inconsistency(): Design-level inconsistency diagnostics for network meta-analysis
network_component_meta(): Additive component network meta-analysis
network_complex_effect(): Estimate arbitrary complex interventions from a component NMA
network_bias_test(): Small-study asymmetry test for network meta-analysis
network_graph_plot(): Base R Network Graph for Network Meta-analysis
network_forest_plot(): Forest Plot for Network Meta-analysis Effects
network_forest_overlay_plot(): Overlay Forest Plot for Direct, Indirect, and Total Network Effects
network_funnel_plot(): Comparison-adjusted funnel plot for network meta-analysis
network_contribution_heatmap(): Heatmap for Network Contribution Matrix

bootstrap_network_meta(): Bootstrap network meta-analysis
replicate_network_bootstrap(): Replicate network meta-analysis bootstraps
jackknife_network_meta(): Jackknife network meta-analysis
replicate_network_jackknife(): Replicate network meta-analysis jackknife omissions
permutation_network_meta(): Permute effect values for network meta-analysis
replicate_network_permutation(): Replicate network meta-analysis effect permutations
network_alt_estimation(): Primary network meta-analysis alternative-estimation function
compute_network_alt_stats(): Compute summaries from network meta-analysis resampling replications

efa_from_synthesis() summary(<efa_mars>) print(<efa_mars>): Exploratory Factor Analysis After Correlation Synthesis
cfa_from_synthesis(): Confirmatory Factor Analysis After Correlation Synthesis
synthesis_factor_report() summary(<synthesis_report>) print(<synthesis_report>) plot(<synthesis_report>): Standardized Report for Correlation Synthesis and Latent Factors
as_markdown() as_html() as_docx(): Export Synthesis Reports