Personalised Synthetic Controls

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Documentation for package ‘psc’ version 2.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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