Package check result: ERROR

Check: examples, Result: ERROR
  Running examples in ‘BCEA-Ex.R’ failed
  The error most likely occurred in:
  
  > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
  > ### Name: evppi
  > ### Title: Expected Value of Perfect Partial Information (EVPPI) for
  > ###   Selected Parameters
  > ### Aliases: evppi evppi.default evppi.bcea
  > 
  > ### ** Examples
  > 
  > # See Baio G., Dawid A.P. (2011) for a detailed description of the 
  > # Bayesian model and economic problem
  > 
  > ## Not run: 
  > ##D # Load the post-processed results of the MCMC simulation model
  > ##D # original JAGS output is can be downloaded from here
  > ##D # https://gianluca.statistica.it/book/bcea/code/vaccine.RData
  > ##D 
  > ##D data(Vaccine, package = "BCEA")
  > ##D treats <- c("Status quo", "Vaccination")
  > ##D 
  > ##D # Run the health economic evaluation using BCEA
  > ##D m <- bcea(e.pts, c.pts, ref = 2, interventions = treats)
  > ##D 
  > ##D # Compute the EVPPI for a bunch of parameters
  > ##D inp <- createInputs(vaccine_mat)
  > ##D 
  > ##D EVPPI <- evppi(m, c("beta.1." , "beta.2."), inp$mat)
  > ##D 
  > ##D plot(EVPPI)
  > ##D 
  > ##D # deprecated (single parameter) methods
  > ##D EVPPI.so <- evppi(m, c("beta.1.", "beta.2."), inp$mat, method = "so", n.blocks = 50)
  > ##D EVPPI.sad <- evppi(m, c("beta.1.", "beta.2."), inp$mat, method = "sad", n.seps = 1)
  > ##D 
  > ##D plot(EVPPI.so)
  > ##D plot(EVPPI.sad)
  > ##D  
  > ##D # Compute the EVPPI using INLA/SPDE
  > ##D if (require("INLA"))
  > ##D   x_inla <- evppi(he = m, 39:40, input = inp$mat)
  > ##D 
  > ##D # using GAM regression
  > ##D x_gam <- evppi(he = m, 39:40, input = inp$mat, method = "GAM")
  > ##D 
  > ##D # using Strong et al GP regression
  > ##D x_gp <- evppi(he = m, 39:40, input = inp$mat, method = "GP")
  > ##D 
  > ##D # plot results
  > ##D if (require("INLA")) plot(x_inla)
  > ##D points(x_inla$k, x_inla$evppi, type = "l", lwd = 2, lty = 2)
  > ##D points(x_gam$k, x_gam$evppi, type = "l", col = "red")
  > ##D points(x_gp$k, x_gp$evppi, type = "l", col = "blue")
  > ##D 
  > ##D if (require("INLA")) {
  > ##D   plot(x_inla$k, x_inla$evppi, type = "l", lwd = 2, lty = 2)
  > ##D   points(x_gam$k, x_gam$evppi, type = "l", col = "red")
  > ##D   points(x_gp$k, x_gp$evppi, type = "l", col = "blue")
  > ##D }
  > ##D 
  > ##D data(Smoking)
  > ##D treats <- c("No intervention", "Self-help",
  > ##D "Individual counselling", "Group counselling")
  > ##D m <- bcea(eff, cost, ref = 4, interventions = treats, Kmax = 500)
  > ##D inp <- createInputs(smoking_output)
  > ##D EVPPI <- evppi(m, c(2,3), inp$mat, h.value = 0.0000005)
  > ##D plot(EVPPI)
  > ## End(Not run)
  > 
  > data(Vaccine, package = "BCEA")
  > treats <- c("Status quo", "Vaccination")
  > bcea_vacc <- bcea(e.pts, c.pts, ref = 2, interventions = treats)
  > inp <- createInputs(vaccine_mat)
   [1] "14 \nLinear dependence: removing column pi.2.2."
   [2] "15 \nLinear dependence: removing column pi.2.2."
   [3] "16 \nLinear dependence: removing column pi.2.2."
   [4] "17 \nLinear dependence: removing column pi.2.2."
   [5] "18 \nLinear dependence: removing column pi.2.2."
   [6] "19 \nLinear dependence: removing column pi.2.2."
   [7] "20 \nLinear dependence: removing column pi.2.2."
   [8] "21 \nLinear dependence: removing column pi.2.2."
   [9] "22 \nLinear dependence: removing column pi.2.2."
  [10] "29 \nLinear dependence: removing column pi.2.2."
  [11] "44 \nLinear dependence: removing column pi.2.2."
  [12] "45 \nLinear dependence: removing column pi.2.2."
  [13] "46 \nLinear dependence: removing column pi.2.2."
  [14] "47 \nLinear dependence: removing column pi.2.2."
   [1] "14 \nLinear dependence: removing column pi.2.1."
   [2] "15 \nLinear dependence: removing column pi.2.1."
   [3] "16 \nLinear dependence: removing column pi.2.1."
   [4] "17 \nLinear dependence: removing column pi.2.1."
   [5] "18 \nLinear dependence: removing column pi.2.1."
   [6] "19 \nLinear dependence: removing column pi.2.1."
   [7] "20 \nLinear dependence: removing column pi.2.1."
   [8] "21 \nLinear dependence: removing column pi.2.1."
   [9] "22 \nLinear dependence: removing column pi.2.1."
  [10] "29 \nLinear dependence: removing column pi.2.1."
  [11] "44 \nLinear dependence: removing column pi.2.1."
  [12] "45 \nLinear dependence: removing column pi.2.1."
   [1] "14 \nLinear dependence: removing column pi.1.1."
   [2] "15 \nLinear dependence: removing column pi.1.1."
   [3] "16 \nLinear dependence: removing column pi.1.1."
   [4] "17 \nLinear dependence: removing column pi.1.1."
   [5] "18 \nLinear dependence: removing column pi.1.1."
   [6] "19 \nLinear dependence: removing column pi.1.1."
   [7] "20 \nLinear dependence: removing column pi.1.1."
   [8] "21 \nLinear dependence: removing column pi.1.1."
   [9] "22 \nLinear dependence: removing column pi.1.1."
  [10] "29 \nLinear dependence: removing column pi.1.1."
  [11] "44 \nLinear dependence: removing column pi.1.1."
  [1] "14 \nLinear dependence: removing column Repeat.GP.2.2."
  [2] "15 \nLinear dependence: removing column Repeat.GP.2.2."
  [3] "16 \nLinear dependence: removing column Repeat.GP.2.2."
  [4] "17 \nLinear dependence: removing column Repeat.GP.2.2."
  [5] "18 \nLinear dependence: removing column Repeat.GP.2.2."
  [6] "19 \nLinear dependence: removing column Repeat.GP.2.2."
  [7] "20 \nLinear dependence: removing column Repeat.GP.2.2."
  [8] "21 \nLinear dependence: removing column Repeat.GP.2.2."
  [9] "22 \nLinear dependence: removing column Repeat.GP.2.2."
  [1] "14 \nLinear dependence: removing column Repeat.GP.2.1."
  [2] "15 \nLinear dependence: removing column Repeat.GP.2.1."
  [3] "17 \nLinear dependence: removing column Repeat.GP.2.1."
  [4] "18 \nLinear dependence: removing column Repeat.GP.2.1."
  [5] "20 \nLinear dependence: removing column Repeat.GP.2.1."
  [6] "21 \nLinear dependence: removing column Repeat.GP.2.1."
  [1] "14 \nLinear dependence: removing column Repeat.GP.1.1."
  [2] "17 \nLinear dependence: removing column Repeat.GP.1.1."
  [3] "20 \nLinear dependence: removing column Repeat.GP.1.1."
  > evppi(bcea_vacc, c("beta.1.", "beta.2."), inp$mat)
  Error: Package "voi (>= 1.0.1)" must be installed to use this function.
  Execution halted