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
pscComb                 PSC Estiamtion combination
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
