Function reference • ecmeta

Datasets of reference studies
`loghr_data()`	Create a log hazard ratio data object
`as_loghr_data()`	Convert to `loghr_data`
Model estimation with reference studies
`ecmeta()`	Meta-analysis of external control studies
`normal()` `invgamma()` `student_t()` `uniform()`	Prior distributions
`summary(<ecmeta_jags>)`	Summary of external control meta-analysis using JAGS
`summary(<ecmeta_ml>)`	Summary of external control meta-analysis using maximum likelihood
Prediction for new study
`predict(<ecmeta_jags>)` `predict(<ecmeta_ml>)`	Predict log hazard ratio
`summary(<ecmeta_jags_prediction>)` `summary(<ecmeta_ml_prediction>)`	Summary of predicted log hazard ratios
Bayesian model diagnostics Helper functions that facilitate visualization of model diagnostics with the `bayesplot` package. The `as.array()` methods in particular allows `ecmeta` and `ecmeta` prediction objects to be passed directly to any `bayesplot` function in which the first arguemnt accepts an object with an `as.array()` method. See for instance `bayesplot::mcmc_trace()`.
`as.array(<ecmeta_jags>)` `as.array(<ecmeta_jags_prediction>)` `as.array(<ecmeta_ml_prediction>)`	Convert object to array

Reference