vachette's Introduction

vachette

A method for visualization of PMx models.

Vachette builds off previous work done in V2ACHER, providing a method to visualize PKPD analyses which are impacted by covariate effects.

Installation

Development

remotes::install_github("certara/vachette")

Examples

IV

# Import Example Data
obs.data <- read.csv(system.file(package = "vachette", "examples", "iv-obs.csv"))
typ.data <- read.csv(system.file(package = "vachette", "examples", "iv-typ.csv"))

library(vachette)

vd <-
  vachette_data(
    obs.data,
    typ.data,
    covariates = c(WT = 70),
    mappings = c(OBS = "DV",
                 x = "time"),
    ref.dosenr = 1,
    model.name = "Intravenous (i.v)"
  )

## `EVID` column found in obs.data, creating `dosenr` column in data for corresponding ref.dosenr value

## `EVID` column found in typ.data, creating `dosenr` column in data for corresponding ref.dosenr value

vd <- vd |>
  apply_transformations()

p.vachette(vd)

Oral Two-Cov

obs.data <- read.csv(system.file(package = "vachette", "examples", "oral-two-cov-obs.csv"))
typ.data  <- read.csv(system.file(package = "vachette", "examples", "oral-two-cov-typ.csv"))

vd <-
  vachette_data(
    obs.data,
    typ.data,
    covariates =  c(WT = 70, AGE = 30),
    mappings = c(OBS = "DV",
                 x = "time"),
    ref.dosenr = 1,
    model.name = "oral-two-cov"
  )

## `EVID` column found in obs.data, creating `dosenr` column in data for corresponding ref.dosenr value

## `EVID` column found in typ.data, creating `dosenr` column in data for corresponding ref.dosenr value

vd <- vd |>
  apply_transformations(window = 23,
                        window.d1.refine = 7,
                        window.d2.refine = 5)

p.vachette(vd)