Man pages for psc
Personalised Synthetic Controls
| acc | acc |
| bin.mod | Example model for a survival outcome |
| boot_lp | Counter Factual Model - summary |
| boot_sest | Counter Factual Model - summary |
| cfmDataSumm | Summarising data within a Counter Factual Model (CFM) |
| cfmDataVis | Visualising data within a CFM |
| cfmDataVis_fac | Visualising Categorical Data |
| cfmDataVis_num | Visualising Numerical Data |
| cfmSumm.flexsurvreg | Counter Factual Model - summary |
| cfmSumm.glm | Counter Factual Model - summary |
| coef.psc | Returns the coefficient estimate of a psc object. |
| cont.mod | Example model for a survival outcome |
| count.mod | Example model for a survival outcome |
| data | Example Dataset of patients with aHCC receiving Lenvetanib |
| e4_data | Example Dataset of patients treated with GemCap in the... |
| facVisComp | Visualising Categorical Data |
| gemCFM | Model for a survival outcome based on Gemcitbine patients... |
| init | Function for estimating initial parameter values |
| lik.flexsurvreg | Likelihood function for a psc model of class 'flexsurvreg' |
| lik.glm | Likelihood function for a psc model of class 'glm' |
| modelExtract | A generic function for extracting model information |
| modelExtract.flexsurvreg | A generic function for extracting model information |
| modelExtract.glm | A generic function for extracting model information |
| modelExtract.lmerMod | A generic function for extracting model information |
| modp | modp |
| numVisComp | Visualising Numerical Data |
| plotCFM | Function for Plotting PSC objects |
| plot.psc | Function for Plotting PSC objects |
| plot.psc.binary | Function for Plotting PSC objects |
| plot.psc.cont | Function for Plotting PSC objects |
| plot.psc.count | Function for Plotting PSC objects #' A function which... |
| plot.psc.flexsurvreg | Function for Plotting PSC objects |
| postSummary | Posterior Summary |
| print.psc | Personalised Synthetic Controls - print |
| print.quiet_gglist | quiet_gglist |
| print.quiet_gtsumm | quiet_gtsumm |
| print.quiet_list | quiet_gtsumm |
| pscCFM | Creating a CFM model which can be shared |
| pscComb | PSC Estiamtion combination |
| pscData | A function which structures the Data Cohort in a format for... |
| pscData_addLik | A function that add a likelihood for estimation to the... |
| pscData_addtrt | A function that includes a treatment indicator when multiple... |
| pscData_error | A function which performs error checks between the DC and CFM |
| pscData_match | A function to ensure that data from the cfm and data cohort... |
| pscData_miss | A function which removes missing data from the DC |
| pscData_structure | A function which structures the Data Cohort in a format for... |
| pscEst | Function for performing Bayesian MCMC estimation procedures... |
| pscEst_run | Running the Bayesian MCMC routine A procedure which runs the... |
| pscEst_samp | Starting conditions for Bayesian MCMC estimation procedures... |
| pscEst_start | Starting conditions for Bayesian MCMC estimation procedures... |
| pscEst_update | Updating the posterior distribution as part of the MCMC... |
| pscfit | Personalised Synthetic Controls model fit |
| psc.object | Fitted 'psc' object |
| psc-package | psc: Personalised Synthetic Controls |
| spline_surv_est | Counter Factual Model - summary |
| summary.psc | Personalised Synthetic Controls - summary |
| surv.mod | Example model for a survival outcome |
| visComp | Visualising Comparisons between a CFM and a DC |
