Package index
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acc()
- acc
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bin.mod
- Example model for a survival outcome
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cfmDataSumm()
- Summarising data within a CFM
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cfmDataVis()
- Visualising data within a CFM
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coef(<psc>)
- Returns the coefficeint estimate of a psc object.
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cont.mod
- Example model for a survival outcome
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count.mod
- Example model for a survival outcome
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data
- Example Dataset of patients with aHCC receiving Lenvetanib
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dataComb()
- A generic function for cleaning data ready for analysis
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dataComb(<flexsurvreg>)
- Function for cleaning the data of a model with class 'flexsurvreg'
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dataComb(<glm>)
- Function for cleaning the data of a model with class 'flexsurvreg'
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dataComb(<pscCFM>)
- Function for cleaning the data of a model with class
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dataSumm()
- A function which provides basic summary information of a matrix x
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data_match()
- A function to ensure that data from the cfm and data cohort are compatible
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e4_data
- Example Dataset of patients treated with GemCap in the ESPAC-4 trial
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facVis()
- Visualising Categorical Data
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facVisComp()
- Visualising Categorical Data
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gemCFM
- Model for a survival outcome based on Gemcitbine patients from ESPAC-3
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initParm()
- Fucntion for estimating initial parameter values 'flexsurvreg'
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initParm(<flexsurvreg>)
- Fucntion for estimating initial parameter values 'flexsurvreg'
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initParm(<glm>)
- Fucntion for estimating initial parameter values
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initParm(<pscCFM>)
- Fucntion for estimating initial parameter values
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lik.flexsurvreg()
- Likelihood function for a psc model of class 'flexsurvreg'
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lik.flexsurvreg.mtc()
- Likelihood function for a psc model of class 'flexsurv' with multiple treatment comparisons
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lik.glm()
- Likelihood function for a psc model of class 'glm'
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lik.glm.mtc()
- Likelihood function for a psc model of class 'glm' with multiple treatment comparisons
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linPred()
- Estimates the linear predictor of a psc object
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modelExtract()
- A generic function for extracting model information
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modelExtract(<flexsurvreg>)
- A generic function for extracting model information
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modelExtract(<glm>)
- A generic function for extracting model information
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modp()
- modp
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numVis()
- Visualising Categorical Data
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numVisComp()
- Visualising Categorical Data
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plot(<psc>)
- Function for Plotting PSC objects
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plot(<psc.binary>)
- Function for Plotting PSC objects
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plot(<psc.cont>)
- Function for Plotting PSC objects
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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).
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plot(<psc.flexsurvreg>)
- Function for Plotting PSC objects
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print(<psc>)
- Personalised Synthetic Controls - print
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print(<quiet_gglist>)
- quiet_gglist
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print(<quiet_gtsumm>)
- quiet_gtsumm
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print(<quiet_list>)
- quiet_gtsumm
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psc.object
- Fitted
psc
object
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pscCFM()
- Creating a CFM model which can be shared
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pscEst()
- Function for performing estimation procedures in 'pscfit'
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pscEst(<flexsurvreg>)
- Function for estimating initial parameter values 'flexsurvreg'
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pscEst(<glm>)
- Function for estimating initial parameter values 'flexsurvreg'
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pscEst(<pscCFM>)
- Function for estimating initial parameter values 'flexsurvreg'
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pscSumm()
- Personalised Synthetic Controls - summary
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pscfit()
- Personalised Synthetic Controls model fit
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summary(<psc>)
- Personalised Synthetic Controls - summary
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surv.mod
- Example model for a survival outcome
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surv_fpm()
- A function to obtain survival estimates from a flexible parametric model
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visComp()
- Visualising Comparisons between a CFM and a DC