# Personalised Synthetic Controls

## Documentation for package ‘psc’ version 2.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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 ESPAC-4 trial
facVisComp | Visualising Categorical Data
gemCFM | Model for a survival outcome based on Gemcitbine patients from ESPAC-3
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
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 illsutrates the predicted response under the counter factual model and the observed response under the experimental treatment(s).
plot.psc.flexsurvreg | Function for Plotting PSC objects
plotCFM | 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
psc.object | Fitted 'psc' object
pscCFM | Creating a CFM model which can be shared
pscData | A function which structures the Data Cohort in a format for model estimation
pscData_addLik | A function that add a likelihood for estimation to the pscObject
pscData_addtrt | A function that includes a treatment indicator when multiple treatment comparisons are required
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 are compatible
pscData_miss | A function which removes missing data from the DC
pscData_structure | A function which structures the Data Cohort in a format for model estimation
pscEst | Function for performing Bayesian MCMC estimation procedures in 'pscfit'
pscEst_run | Running the Bayesian MCMC routine A procedure which runs the MCMC estimation routine
pscEst_samp | Starting conditions for Bayesian MCMC estimation procedures in 'pscfit' A procedure which runs the sampling process for MCMC estimation
pscEst_start | Starting conditions for Bayesian MCMC estimation procedures in 'pscfit' A procedure which sets the starting conditions for MCMC estimation
pscEst_update | Updating the posterior distribution as part of the MCMC estimation process A procedure which performs a single update of the posterior distribution
pscfit | Personalised Synthetic Controls model fit
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