Package index • mars

All functions

Mul_R2(): Mul R2
OS(): Olkin & Siotani 1976 variance-covariance numerator
bcg: BCG Vaccine Trial Data
becker09: Becker 2009 Correlation Data
bootstrap_mars(): Boostrap mars wrapper
bootstrap_network_meta(): Bootstrap network meta-analysis
c_mat_ft(): Build Implied Correlation Matrices for Observed Path Models
cfa_from_synthesis(): Confirmatory Factor Analysis After Correlation Synthesis
compute_alt_stats(): Compute summaries from alternative estimation replications
compute_network_alt_stats(): Compute summaries from network meta-analysis resampling replications
conduct_permutation(): Conduct permutation computations
corr_to_mars(): Convert a Mixed Correlation Object to a mars-Compatible Object
df_to_corr(): Helper function to read in data
efa_from_synthesis() summary(<efa_mars>) print(<efa_mars>): Exploratory Factor Analysis After Correlation Synthesis
estimation(): Master Estimation Function
find_B(): Estimate Regression Coefficients from a Correlation Matrix
find_reg_coef(): Find regression coefficients
forest_plot(): Forest Plot for Meta-Analysis Results
funnel_plot(): Funnel Plot for Publication-Bias Models
gap_map_plot(): Evidence Gap Map Plot
hsmd() print(<hsmd>): Harmonized Standardized Mean Differences
hsmd_example_1: HSMD Example 1 Data
hsmd_example_2: HSMD Example 2 Data
influence_diagnostics(): Influence Diagnostics for MARS Models
jackknife_network_meta(): Jackknife network meta-analysis
mars(): Master mars function
mars_alt_estimation(): Primary main alternative estimation function
mars_rf(): Random Forest Meta-Analysis Models
mars_rf_multilevel(): Multilevel Random Forest Meta-Analysis
mars_rf_multivariate(): Multivariate Random Forest Meta-Analysis
mars_rf_univariate(): Univariate Random Forest Meta-Analysis
masmr() summary(<masmr>) print(<summary.masmr>): Methodology-Adjusted Substantive Meta-Regression (MASMR)
math_correlations: Math Correlations Data
mixed_corr_meta(): Mixed Correlation Matrix for Meta-Analytic Path Modeling
model_fit(): Fit Path Models to a Correlation Matrix
network_alt_estimation(): Primary network meta-analysis alternative-estimation function
network_bias_test(): Small-study asymmetry test for network meta-analysis
network_complex_effect(): Estimate arbitrary complex interventions from a component NMA
network_component_meta(): Additive component network meta-analysis
network_contribution_heatmap(): Heatmap for Network Contribution Matrix
network_design_inconsistency(): Design-level inconsistency diagnostics for network meta-analysis
network_forest_overlay_plot(): Overlay Forest Plot for Direct, Indirect, and Total Network Effects
network_forest_plot(): Forest Plot for Network Meta-analysis Effects
network_funnel_plot(): Comparison-adjusted funnel plot for network meta-analysis
network_graph_plot(): Base R Network Graph for Network Meta-analysis
network_league_table(): Create a formatted league table from a fitted network meta-analysis
network_meta(): Network Meta-analysis with MARS
network_pairwise_data(): Convert arm-level study data to contrast-level network meta-analysis data
network_prediction_intervals(): Prediction intervals for all network treatment contrasts
olkin_siotani(): Olkin & Siotani variance-covariance matrix
path_model(): Path Model Function
permutation_mars(): Permutation mars wrapper
permutation_network_meta(): Permute effect values for network meta-analysis
plot(<mars_boot>): Plot alternative-estimation replications
plot(<profile_likelihood>): Plot Profile-Likelihood Curves
plot_residual_panel(): Plot residual diagnostics panels for MARS models
predict(<nma_mars>): Predict treatment contrasts from a fitted network_meta model
prisma_diagram(): PRISMA Flow Diagram (Base R)
profile_likelihood(): Profile Likelihood for mars Models
profile_random_effects(): Profile Likelihood for Random-Effects Variance Parameters
publication_bias(): Publication Bias Adjustment
replicate_bootstrap(): Replicate the bootstrap computations
replicate_jackknife(): Replicate the jackknife computations
replicate_network_bootstrap(): Replicate network meta-analysis bootstraps
replicate_network_jackknife(): Replicate network meta-analysis jackknife omissions
replicate_network_permutation(): Replicate network meta-analysis effect permutations
replicate_permutation(): Replicate the permutation computations
as_markdown() as_html() as_docx(): Export Synthesis Reports
residual_diagnostics(): Residual Diagnostics for MARS Models
residuals(<mars>): Residuals for MARS Models
rf_importance(): Random Forest Variable Importance
risk_of_bias_plot(): Risk-of-Bias Traffic Light and Aggregate Bar Plot
sample_jackknife(): Jackknife mars wrapper
school: Modified School Calendar Meta-analysis Data
selection_plot() plot(<pub_bias>): Selection-Function Plot for Publication-Bias Models
smd_data: Simulated Multivariate Standardized Mean Difference Data
synthesis_factor_report() summary(<synthesis_report>) print(<synthesis_report>) plot(<synthesis_report>): Standardized Report for Correlation Synthesis and Latent Factors
tau_u_computation(): Tau U effect size
teacher_expectancy: Teacher Expectancy Data