Last updated on 2024-05-01 12:15:14 CEST.
| Package | ERROR | NOTE |
|---|---|---|
| expertsurv | 9 | 3 |
Current CRAN status: ERROR: 9, NOTE: 3
Version: 1.3.0
Check: for GNU extensions in Makefiles
Result: NOTE
GNU make is a SystemRequirements.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Version: 1.3.0
Check: examples
Result: ERROR
Running examples in ‘expertsurv-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: expertsurv-package
> ### Title: Incorporating Expert Opinion with Parametric Survival Models
> ### Aliases: expertsurv-package expertsurv
> ### Keywords: Economic Evaluation Expert Health Modelling Opinion Survival
>
> ### ** Examples
>
> #Define expert opinion
> require("dplyr")
Loading required package: dplyr
Attaching package: ‘dplyr’
The following objects are masked from ‘package:stats’:
filter, lag
The following objects are masked from ‘package:base’:
intersect, setdiff, setequal, union
> param_expert_example1 <- list()
> #1 timepoint and 2 experts with equal weight,
> #first a normal distribution, second a non-standard t-distribution with
> #3 degrees of freedom
>
> param_expert_example1[[1]] <- data.frame(dist = c("norm","t"),
+ wi = c(0.5,0.5), # Ensure Weights sum to 1
+ param1 = c(0.1,0.12),
+ param2 = c(0.05,0.05),
+ param3 = c(NA,3))
>
>
> timepoint_expert <- 14
>
> data2 <- data %>% rename(status = censored) %>% mutate(time2 = ifelse(time > 10, 10, time),
+ status2 = ifelse(time> 10, 0, status))
>
> example1 <- fit.models.expert(formula=Surv(time2,status2)~1,data=data2,
+ distr=c("wph", "gomp"),
+ method="mle",
+ pool_type = "log pool",
+ opinion_type = "survival",
+ times_expert = timepoint_expert,
+ param_expert = param_expert_example1)
Error in get(x, envir = ns, inherits = FALSE) :
object 'deriv.test' not found
Calls: fit.models.expert ... format_output_fit.models -> lapply -> lapply -> FUN -> runMLE
Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64
Version: 1.3.0
Check: installed package size
Result: NOTE
installed size is 10.3Mb
sub-directories of 1Mb or more:
doc 1.7Mb
libs 7.0Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-x86_64, r-release-macos-arm64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Version: 1.3.0
Check: dependencies in R code
Result: NOTE
Namespaces in Imports field not imported from:
‘RcppParallel’ ‘rstantools’
All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 1.3.0
Check: examples
Result: ERROR
Running examples in ‘expertsurv-Ex.R’ failed
The error most likely occurred in:
> ### Name: expertsurv-package
> ### Title: Incorporating Expert Opinion with Parametric Survival Models
> ### Aliases: expertsurv-package expertsurv
> ### Keywords: Economic Evaluation Expert Health Modelling Opinion Survival
>
> ### ** Examples
>
> #Define expert opinion
> require("dplyr")
Loading required package: dplyr
Attaching package: ‘dplyr’
The following objects are masked from ‘package:stats’:
filter, lag
The following objects are masked from ‘package:base’:
intersect, setdiff, setequal, union
> param_expert_example1 <- list()
> #1 timepoint and 2 experts with equal weight,
> #first a normal distribution, second a non-standard t-distribution with
> #3 degrees of freedom
>
> param_expert_example1[[1]] <- data.frame(dist = c("norm","t"),
+ wi = c(0.5,0.5), # Ensure Weights sum to 1
+ param1 = c(0.1,0.12),
+ param2 = c(0.05,0.05),
+ param3 = c(NA,3))
>
>
> timepoint_expert <- 14
>
> data2 <- data %>% rename(status = censored) %>% mutate(time2 = ifelse(time > 10, 10, time),
+ status2 = ifelse(time> 10, 0, status))
>
> example1 <- fit.models.expert(formula=Surv(time2,status2)~1,data=data2,
+ distr=c("wph", "gomp"),
+ method="mle",
+ pool_type = "log pool",
+ opinion_type = "survival",
+ times_expert = timepoint_expert,
+ param_expert = param_expert_example1)
Error in get(x, envir = ns, inherits = FALSE) :
object 'deriv.test' not found
Calls: fit.models.expert ... format_output_fit.models -> lapply -> lapply -> FUN -> runMLE
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64