R: Simulated Pseudo-Individual Data Meta-Analysis with ABC-SMC

# Simulated Pseudo-Individual Data Meta-Analysis with ABC-SMC

## Documentation for package ‘spima’ version 0.2.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

bp_cont | Blood Pressure Continuous Outcome Data
distance_functions | Distance Functions for ABC-SMC
forest | Generic forest plot
forest.spima | Generic forest plot
gen_effect | Generic Effect Size Data
kidney_bin | Kidney Disease Binary Outcome Data
log_prior_density | Evaluate log-prior density for a parameter vector
plot.spima_int | Plot Treatment Effect Modification
prior | Define Prior Distributions for ABC-SMC Parameters
run_abc_smc | Run ABC-SMC Inference
sample_prior | Sample from the joint prior
smc_control | Control Parameters for ABC-SMC
spima | spima: Simulated Pseudo-Individual Data Meta-Analysis
spima_bin_analyze | Analyze Pseudo-IPD for Binary Outcome
spima_bin_distance | Distance Functions for ABC-SMC
spima_bin_observed_stats | Compute Observed Summary Statistics for Binary Data
spima_bin_simulate | Simulate Pseudo-IPD for Binary Outcome
spima_bin_validate | Validate Binary Outcome Input
spima_cont_analyze | Analyze Pseudo-IPD for Continuous Outcome
spima_cont_distance | Distance Functions for ABC-SMC
spima_cont_observed_stats | Compute Observed Summary Statistics for Continuous Data
spima_cont_simulate | Simulate Pseudo-IPD for Continuous Outcome
spima_cont_validate | Validate Continuous Outcome Input
spima_forest | Generic forest plot
spima_gamma_analyze | Analyze Pseudo-IPD for Gamma Outcome
spima_gamma_distance | Distance Function for Gamma Outcome
spima_gamma_observed_stats | Compute Observed Summary Statistics for Gamma Data
spima_gamma_simulate | Simulate Pseudo-IPD for Gamma Outcome
spima_gamma_validate | Validate Gamma Outcome Input
spima_generic_analyze | Analyze Pseudo-Data for Generic Effect-Size
spima_generic_distance | Generic (effect-size) distance: weighted Euclidean distance on effects
spima_generic_observed_stats | Compute Observed Summary Statistics for Generic Effect-Size
spima_generic_simulate | Simulate Pseudo-Data for Generic Effect-Size
spima_generic_validate | Validate Generic Effect-Size Input
spima_int | SPI-MA Interaction Analysis
spima_int_validate | SPI-MA Interaction Analysis