Package index
-
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 patients 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
pscobject
-
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'
-
pscSumm() - Personalised Synthetic Controls - summary
-
pscfit() - Personalised Synthetic Controls model fit
-
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