acc |
acc |
bin.mod |
Example model for a survival outcome |
cfmDataSumm |
Summarising data within a CFM |
cfmDataVis |
Visualising data within a CFM |
coef.psc |
Returns the coefficeint 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 |
dataComb |
A generic function for cleaning data ready for analysis |
dataComb.flexsurvreg |
Function for cleaning the data of a model with class 'flexsurvreg' |
dataComb.glm |
Function for cleaning the data of a model with class 'flexsurvreg' |
dataComb.pscCFM |
Function for cleaning the data of a model with class |
dataSumm |
A function which provides basic summary information of a matrix x |
data_match |
A function to ensure that data from the cfm and data cohort are compatible |
e4_data |
Example Dataset of patients treated with GemCap in the ESPAC-4 trial |
facVis |
Visualising Categorical Data |
facVisComp |
Visualising Categorical Data |
gemCFM |
Model for a survival outcome based on Gemcitbine patietns from ESPAC-3 |
initParm |
Fucntion for estimating initial parameter values 'flexsurvreg' |
initParm.flexsurvreg |
Fucntion for estimating initial parameter values 'flexsurvreg' |
initParm.glm |
Fucntion for estimating initial parameter values |
initParm.pscCFM |
Fucntion for estimating initial parameter values |
lik.flexsurvreg |
Likelihood function for a psc model of class 'flexsurvreg' |
lik.flexsurvreg.mtc |
Likelihood function for a psc model of class 'flexsurv' with multiple treatment comparisons |
lik.glm |
Likelihood function for a psc model of class 'glm' |
lik.glm.mtc |
Likelihood function for a psc model of class 'glm' with multiple treatment comparisons |
linPred |
Estimates the linear predictor of a psc object |
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 |
modp |
modp |
numVis |
Visualising Categorical Data |
numVisComp |
Visualising Categorical 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 |
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 |
pscEst |
Function for performing estimation procedures in 'pscfit' |
pscEst.flexsurvreg |
Function for estimating initial parameter values 'flexsurvreg' |
pscEst.glm |
Function for estimating initial parameter values 'flexsurvreg' |
pscEst.pscCFM |
Function for estimating initial parameter values 'flexsurvreg' |
pscfit |
Personalised Synthetic Controls model fit |
pscSumm |
Personalised Synthetic Controls - summary |
summary.psc |
Personalised Synthetic Controls - summary |
surv.mod |
Example model for a survival outcome |
surv_fpm |
A function to obtain survival estimates from a flexible parametric model |
visComp |
Visualising Comparisons between a CFM and a DC |