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  "Title": "Personalised Synthetic Controls",
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  "Maintainer": "Richard Jackson <richJ23@liverpool.ac.uk>",
  "Description": "Allows the comparison of data cohorts (DC) against a\nCounter Factual Model (CFM) and measures the difference in\nterms of an efficacy parameter.  Allows the application of\nPersonalised Synthetic Controls.",
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  "Repository": "https://richjjackson.r-universe.dev",
  "Date/Publication": "2026-06-08 09:30:46 UTC",
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      "title": "Example Dataset of patients treated with GemCap in the ESPAC-4 trial",
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        "ResecM"
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      "tojson": true
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      "name": "gemCFM",
      "title": "Model for a survival outcome based on Gemcitbine patients from ESPAC-3",
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      "class": [
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      ],
      "fields": [],
      "table": false,
      "tojson": false
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      "title": "acc",
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      "title": "Example model for a survival outcome",
      "topics": [
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      ]
    },
    {
      "page": "boot_lp",
      "title": "Counter Factual Model - summary",
      "topics": [
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      ]
    },
    {
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      "title": "Counter Factual Model - summary",
      "topics": [
        "boot_sest"
      ]
    },
    {
      "page": "cfmDataSumm",
      "title": "Summarising data within a Counter Factual Model (CFM)",
      "topics": [
        "cfmDataSumm"
      ]
    },
    {
      "page": "cfmDataVis",
      "title": "Visualising data within a CFM",
      "topics": [
        "cfmDataVis"
      ]
    },
    {
      "page": "cfmDataVis_fac",
      "title": "Visualising Categorical Data",
      "topics": [
        "cfmDataVis_fac"
      ]
    },
    {
      "page": "cfmDataVis_num",
      "title": "Visualising Numerical Data",
      "topics": [
        "cfmDataVis_num"
      ]
    },
    {
      "page": "cfmSumm.flexsurvreg",
      "title": "Counter Factual Model - summary",
      "topics": [
        "cfmSumm.flexsurvreg"
      ]
    },
    {
      "page": "cfmSumm.glm",
      "title": "Counter Factual Model - summary",
      "topics": [
        "cfmSumm.glm"
      ]
    },
    {
      "page": "coef.psc",
      "title": "Returns the coefficient estimate of a psc object.",
      "topics": [
        "coef.psc"
      ]
    },
    {
      "page": "cont.mod",
      "title": "Example model for a survival outcome",
      "topics": [
        "cont.mod"
      ]
    },
    {
      "page": "count.mod",
      "title": "Example model for a survival outcome",
      "topics": [
        "count.mod"
      ]
    },
    {
      "page": "data",
      "title": "Example Dataset of patients with aHCC receiving Lenvetanib",
      "topics": [
        "data"
      ]
    },
    {
      "page": "e4_data",
      "title": "Example Dataset of patients treated with GemCap in the ESPAC-4 trial",
      "topics": [
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      ]
    },
    {
      "page": "facVisComp",
      "title": "Visualising Categorical Data",
      "topics": [
        "facVisComp"
      ]
    },
    {
      "page": "gemCFM",
      "title": "Model for a survival outcome based on Gemcitbine patients from ESPAC-3",
      "topics": [
        "gemCFM"
      ]
    },
    {
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      "title": "Function for estimating initial parameter values",
      "topics": [
        "init"
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    {
      "page": "lik.flexsurvreg",
      "title": "Likelihood function for a psc model of class 'flexsurvreg'",
      "topics": [
        "lik.flexsurvreg"
      ]
    },
    {
      "page": "lik.glm",
      "title": "Likelihood function for a psc model of class 'glm'",
      "topics": [
        "lik.glm"
      ]
    },
    {
      "page": "modelExtract",
      "title": "A generic function for extracting model information",
      "topics": [
        "modelExtract"
      ]
    },
    {
      "page": "modelExtract.flexsurvreg",
      "title": "A generic function for extracting model information",
      "topics": [
        "modelExtract.flexsurvreg"
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    },
    {
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      "title": "A generic function for extracting model information",
      "topics": [
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    },
    {
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      "title": "A generic function for extracting model information",
      "topics": [
        "modelExtract.lmerMod"
      ]
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      "title": "modp",
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      "topics": [
        "plot.psc"
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    {
      "page": "plot.psc.binary",
      "title": "Function for Plotting PSC objects",
      "topics": [
        "plot.psc.binary"
      ]
    },
    {
      "page": "plot.psc.cont",
      "title": "Function for Plotting PSC objects",
      "topics": [
        "plot.psc.cont"
      ]
    },
    {
      "page": "plot.psc.count",
      "title": "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).",
      "topics": [
        "plot.psc.count"
      ]
    },
    {
      "page": "plot.psc.flexsurvreg",
      "title": "Function for Plotting PSC objects",
      "topics": [
        "plot.psc.flexsurvreg"
      ]
    },
    {
      "page": "plotCFM",
      "title": "Function for Plotting PSC objects",
      "topics": [
        "plotCFM"
      ]
    },
    {
      "page": "postSummary",
      "title": "Posterior Summary",
      "topics": [
        "postSummary"
      ]
    },
    {
      "page": "print.psc",
      "title": "Personalised Synthetic Controls - print",
      "topics": [
        "print.psc"
      ]
    },
    {
      "page": "print.quiet_gglist",
      "title": "quiet_gglist",
      "topics": [
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    {
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      "title": "quiet_gtsumm",
      "topics": [
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    },
    {
      "page": "print.quiet_list",
      "title": "quiet_gtsumm",
      "topics": [
        "print.quiet_list"
      ]
    },
    {
      "page": "psc.object",
      "title": "Fitted 'psc' object",
      "topics": [
        "psc.object"
      ]
    },
    {
      "page": "pscCFM",
      "title": "Creating a CFM model which can be shared",
      "topics": [
        "pscCFM"
      ]
    },
    {
      "page": "pscComb",
      "title": "PSC Estiamtion combination",
      "topics": [
        "pscComb"
      ]
    },
    {
      "page": "pscData",
      "title": "A function which structures the Data Cohort in a format for model estimation",
      "topics": [
        "pscData"
      ]
    },
    {
      "page": "pscData_addLik",
      "title": "A function that add a likelihood for estimation to the pscObject",
      "topics": [
        "pscData_addLik"
      ]
    },
    {
      "page": "pscData_addtrt",
      "title": "A function that includes a treatment indicator when multiple treatment comparisons are required",
      "topics": [
        "pscData_addtrt"
      ]
    },
    {
      "page": "pscData_error",
      "title": "A function which performs error checks between the DC and CFM",
      "topics": [
        "pscData_error"
      ]
    },
    {
      "page": "pscData_match",
      "title": "A function to ensure that data from the cfm and data cohort are compatible",
      "topics": [
        "pscData_match"
      ]
    },
    {
      "page": "pscData_miss",
      "title": "A function which removes missing data from the DC",
      "topics": [
        "pscData_miss"
      ]
    },
    {
      "page": "pscData_structure",
      "title": "A function which structures the Data Cohort in a format for model estimation",
      "topics": [
        "pscData_structure"
      ]
    },
    {
      "page": "pscEst",
      "title": "Function for performing Bayesian MCMC estimation procedures in 'pscfit'",
      "topics": [
        "pscEst"
      ]
    },
    {
      "page": "pscEst_run",
      "title": "Running the Bayesian MCMC routine A procedure which runs the MCMC estimation routine",
      "topics": [
        "pscEst_run"
      ]
    },
    {
      "page": "pscEst_samp",
      "title": "Starting conditions for Bayesian MCMC estimation procedures in 'pscfit' A procedure which runs the sampling process for MCMC estimation",
      "topics": [
        "pscEst_samp"
      ]
    },
    {
      "page": "pscEst_start",
      "title": "Starting conditions for Bayesian MCMC estimation procedures in 'pscfit' A procedure which sets the starting conditions for MCMC estimation",
      "topics": [
        "pscEst_start"
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    },
    {
      "page": "pscEst_update",
      "title": "Updating the posterior distribution as part of the MCMC estimation process A procedure which performs a single update of the posterior distribution",
      "topics": [
        "pscEst_update"
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    },
    {
      "page": "pscfit",
      "title": "Personalised Synthetic Controls model fit",
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    {
      "page": "spline_surv_est",
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      "topics": [
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    {
      "page": "summary.psc",
      "title": "Personalised Synthetic Controls - summary",
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        "summary.psc"
      ]
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      "page": "surv.mod",
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      ]
    },
    {
      "page": "visComp",
      "title": "Visualising Comparisons between a CFM and a DC",
      "topics": [
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