Package index
- 
          bucher()print(<maicplus_bucher>)
- Bucher method for combining treatment effects
- 
          center_ipd()
- Center individual patient data (IPD) variables using aggregate data averages
- 
          check_weights()print(<maicplus_check_weights>)
- Check to see if weights are optimized correctly
- 
          dummize_ipd()
- Create dummy variables from categorical variables in an individual patient data (ipd)
- 
          estimate_weights()plot(<maicplus_estimate_weights>)
- Derive individual weights in the matching step of MAIC
- 
          get_pseudo_ipd_binary()
- Create pseudo IPD given aggregated binary data
- 
          maic_anchored()
- Anchored MAIC for binary and time-to-event endpoint
- 
          maic_unanchored()
- Unanchored MAIC for binary and time-to-event endpoint
- 
          process_agd()
- Pre-process aggregate data
- 
          basic_kmplot()
- Basic Kaplan Meier (KM) plot function
- 
          basic_kmplot2()
- Basic Kaplan Meier (KM) plot function using ggplot
- 
          kmplot()
- Kaplan Meier (KM) plot function for anchored and unanchored cases
- 
          kmplot2()
- Kaplan-Meier (KM) plot function for anchored and unanchored cases using ggplot
- 
          ph_diagplot()
- Diagnosis plot of proportional hazard assumption for anchored and unanchored
- 
          ph_diagplot_lch()
- PH Diagnosis Plot of Log Cumulative Hazard Rate versus time or log-time
- 
          ph_diagplot_schoenfeld()
- PH Diagnosis Plot of Schoenfeld residuals for a Cox model fit
- 
          plot_weights_base()
- Plot MAIC weights in a histogram with key statistics in legend
- 
          plot_weights_ggplot()
- Plot MAIC weights in a histogram with key statistics in legend using ggplot2
- 
          set_time_conversion()get_time_conversion()
- Get and Set Time Conversion Factors
- 
          get_time_as()
- Convert Time Values Using Scaling Factors
- 
          glm_makeup()
- Helper function to summarize outputs from glm fit
- 
          find_SE_from_CI()
- Calculate standard error from the reported confidence interval.
- 
          survfit_makeup()
- Helper function to select set of variables used for Kaplan-Meier plot
- 
          medSurv_makeup()
- Helper function to retrieve median survival time from a survival::survfitobject
- 
          agd
- Aggregate effect modifier data from published study
- 
          adrs_sat
- Binary outcome data from single arm trial
- 
          adrs_twt
- Binary outcome data from two arm trial
- 
          adsl_sat
- Patient data from single arm study
- 
          adsl_twt
- Patient data from two arm trial
- 
          adtte_sat
- Survival data from single arm trial
- 
          adtte_twt
- Survival data from two arm trial
- 
          centered_ipd_sat
- Centered patient data from single arm trial
- 
          centered_ipd_twt
- Centered patient data from two arm trial
- 
          pseudo_ipd_sat
- Pseudo individual patient survival data from published study
- 
          pseudo_ipd_twt
- Pseudo individual patient survival data from published two arm study
- 
          weighted_sat
- Weighted object for single arm trial data
- 
          weighted_twt
- Weighted object for two arm trial data