coef-method |
Class for representing ipdlme objects |
confint |
Compute confidence intervals for population effects of an 'ipdlme' object |
confint-method |
Compute confidence intervals for population effects of an 'ipdlme' object |
converged |
Extract the convergence status for an 'ipdlme' object |
converged-method |
Extract the convergence status for an 'ipdlme' object |
convergence |
Extract the convergence trace for an 'ipdlme' object |
convergence-method |
Extract the convergence trace for an 'ipdlme' object |
fixef |
Extract the population (fixed effect) estimates for an 'ipdlme' object |
fixef-method |
Extract the population (fixed effect) estimates for an 'ipdlme' object |
ipd.sep |
IPD meta-analysis Subgroup Effect Power Estimator |
ipdlme |
IPD Linear Mixed-Effects Models from Aggregate Data |
ipdlme-class |
Class for representing ipdlme objects |
ipdmeta |
Tools for subgroup analyses with multiple trial data using aggregate statistics |
MaxIter |
Extract the maximum number of iterations specified for an 'ipdlme' object |
MaxIter-method |
Extract the maximum number of iterations specified for an 'ipdlme' object |
n |
Aggregated data set of REGRESS trial outcomes for IPD meta-analysis of treatment covariate effect |
n.iter |
Extract the number of iterations for an 'ipdlme' object |
n.iter-method |
Extract the number of iterations for an 'ipdlme' object |
plot |
Forest plot of study random effects for an 'ipdlme' object |
plot-method |
Forest plot of study random effects for an 'ipdlme' object |
poynard |
Meta-analysis data set for Poynard et al. review of beta-adrenergic-antagonist drugs |
print-method |
Class for representing ipdlme objects |
Qt |
Measures of covariate heterogeneity |
ranef |
Extract the study random effects for an 'ipdlme' object |
ranef-method |
Extract the study random effects for an 'ipdlme' object |
regress_age |
Aggregated data set of REGRESS trial outcomes for IPD meta-analysis of treatment covariate effect |
regress_chol |
Aggregated data set of REGRESS trial outcomes for IPD meta-analysis of treatment covariate effect |
S2 |
Aggregated data set of REGRESS trial outcomes for IPD meta-analysis of treatment covariate effect |
S2.subgroup |
Aggregated data set of REGRESS trial outcomes for IPD meta-analysis of treatment covariate effect |
show-method |
Class for representing ipdlme objects |
sigma2 |
Extract the estimated residual variance for an 'ipdlme' object |
sigma2-method |
Extract the estimated residual variance for an 'ipdlme' object |
summary-method |
Class for representing ipdlme objects |
tol |
Extract the convergence criterion for an 'ipdlme' object |
tol-method |
Extract the convergence criterion for an 'ipdlme' object |
Var |
Extract the random effect variance parameters |
Var-method |
Extract the random effect variance parameters |
vcov-method |
Class for representing ipdlme objects |
VcovFixef |
Extract the variance-covariance for the population (fixed effect) estimates for an 'ipdlme' object |
VcovFixef-method |
Extract the variance-covariance for the population (fixed effect) estimates for an 'ipdlme' object |
VcovRanef |
Extract the variance-covariance matrix for study random effect estimates for an 'ipdlme' object |
VcovRanef-method |
Extract the variance-covariance matrix for study random effect estimates for an 'ipdlme' object |
Y |
Aggregated data set of REGRESS trial outcomes for IPD meta-analysis of treatment covariate effect |