psc2.0.1 package

Personalised Synthetic Controls

acc

acc

boot_lp

Counter Factual Model - summary

boot_sest

Counter Factual Model - summary

cfmDataSumm

Summarising data within a Counter Factual Model (CFM)

cfmDataVis_fac

Visualising Categorical Data

cfmDataVis_num

Visualising Numerical Data

cfmDataVis

Visualising data within a CFM

cfmSumm.flexsurvreg

Counter Factual Model - summary

cfmSumm.glm

Counter Factual Model - summary

coef.psc

Returns the coefficient estimate of a psc object.

data

Example Dataset of patients with aHCC receiving Lenvetanib

facVisComp

Visualising Categorical Data

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.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

modelExtract

A generic function for extracting model information

modp

modp

numVisComp

Visualising Numerical Data

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 ...

plot.psc.flexsurvreg

Function for Plotting PSC objects

plot.psc

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-package

psc: Personalised Synthetic Controls

psc.object

Fitted psc object

pscCFM

Creating a CFM model which can be shared

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...

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 compat...

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 esti...

pscData

A function which structures the Data Cohort in a format for model esti...

pscEst_run

Running the Bayesian MCMC routine A procedure which runs the MCMC esti...

pscEst_samp

Starting conditions for Bayesian MCMC estimation procedures in 'pscfit...

pscEst_start

Starting conditions for Bayesian MCMC estimation procedures in 'pscfit...

pscEst_update

Updating the posterior distribution as part of the MCMC estimation pro...

pscEst

Function for performing Bayesian MCMC estimation procedures in 'pscfit...

pscfit

Personalised Synthetic Controls model fit

spline_surv_est

Counter Factual Model - summary

summary.psc

Personalised Synthetic Controls - summary

visComp

Visualising Comparisons between a CFM and a DC

Allows the comparison of data cohorts (DC) against a Counter Factual Model (CFM) and measures the difference in terms of an efficacy parameter. Allows the application of Personalised Synthetic Controls.

  • Maintainer: Richard Jackson
  • License: GPL-3
  • Last published: 2026-01-12