Last updated on 2024-07-12 15:52:47 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.2 | 4.45 | 48.81 | 53.26 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.1.2 | 3.63 | 34.32 | 37.95 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.1.2 | 68.29 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.1.2 | 61.00 | ERROR | |||
| r-devel-windows-x86_64 | 0.1.2 | 6.00 | 56.00 | 62.00 | ERROR | |
| r-patched-linux-x86_64 | 0.1.2 | 2.75 | 44.76 | 47.51 | ERROR | |
| r-release-linux-x86_64 | 0.1.2 | 2.70 | 44.06 | 46.76 | ERROR | |
| r-release-macos-arm64 | 0.1.2 | 23.00 | NOTE | |||
| r-release-macos-x86_64 | 0.1.2 | 36.00 | NOTE | |||
| r-release-windows-x86_64 | 0.1.2 | 5.00 | 58.00 | 63.00 | ERROR | |
| r-oldrel-macos-arm64 | 0.1.2 | 25.00 | NOTE | |||
| r-oldrel-macos-x86_64 | 0.1.2 | 59.00 | NOTE | |||
| r-oldrel-windows-x86_64 | 0.1.2 | 6.00 | 62.00 | 68.00 | ERROR |
Version: 0.1.2
Check: dependencies in R code
Result: WARN
Missing or unexported object: ‘fdapace::FLM1’
Unexported object imported by a ':::' call: ‘fdapace:::interp2lin’
See the note in ?`:::` about the use of this operator.
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-windows-x86_64, r-oldrel-windows-x86_64
Version: 0.1.2
Check: examples
Result: ERROR
Running examples in ‘fdaconcur-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: historyIndexDense
> ### Title: Functional History Index Model
> ### Aliases: historyIndexDense
>
> ### ** Examples
>
> set.seed(1)
> ### functional covariate X(t) ###
> phi1 <- function(t) sin(pi*t / 5) / sqrt(5)
> phi2 <- function(t) cos(pi*t / 5) / sqrt(5)
> lambdaX <- c(10, 5)
> n <- 150
> N <- 101
> Xi <- matrix(rnorm(2*n), nrow = n, ncol = 2)
> denseLt <- list()
> denseLy <- list()
> t0 <- seq(0, 15, length.out = N)
> for (i in 1:n) {
+ denseLt[[i]] <- t0
+ denseLy[[i]] <- lambdaX[1]*Xi[i, 1]*phi1(t0) + lambdaX[2]*Xi[i, 2]*phi2(t0)
+ }
> denseX0 <- list(Ly = denseLy, Lt = denseLt)
>
> ### generate coefficient function gamma(u), beta(u) ###
> Lag <- 5
> u0 <- t0[t0<=Lag]
> t0_out <- t0[t0>=Lag]
> gamma_u <- function(u) sqrt(2/5) * cos(pi * u /5)
> beta_1 <- function(t) 5*sin(pi*t/10)
> beta_0 <- function(t) t^2/2
>
> ### functional response Y(t), t in t0_out ###
> denseLt <- list()
> denseLy <- list()
> for (i in 1:n) {
+ denseLt[[i]] <- t0_out
+ Xt <- denseX0$Ly[[i]]
+ Xtu <- t(sapply((1:N)[t0>=Lag], function(j){
+ rev(Xt[(j-length(u0)+1):j]) #history index for X[t-u:t]
+ }))
+ IntGammaXtu <- apply(Xtu, 1, function(v){
+ fdapace::trapzRcpp(u0, gamma_u(u0) * v)
+ })
+ #append 0 in the first length(u0)-1 element(useless info. in our modeling)
+ denseLy[[i]] <- beta_0(t0_out) + IntGammaXtu * beta_1(t0_out) + rnorm(length(t0_out), 0, 0.1)
+ }
> denseY <- list(Ly = denseLy, Lt = denseLt)
>
> ### functional predictor X(t) (adjust for t0_out) ###
> denseLt <- list()
> denseLy <- list()
> for (i in 1:n){
+ denseLt[[i]] <- t0_out
+ denseLy[[i]] <- denseX0$Ly[[i]][t0>=Lag]
+ }
> denseX <- list(Ly = denseLy,
+ Lt = denseLt)
> fit <- historyIndexDense(Y = denseY, X = list(X = denseX), Lag = Lag)
Error: 'FLM1' is not an exported object from 'namespace:fdapace'
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
ConcurReg 4.631 0.169 6.817
GetCI_Dense 3.925 0.025 5.050
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.1.2
Check: examples
Result: ERROR
Running examples in ‘fdaconcur-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: historyIndexDense
> ### Title: Functional History Index Model
> ### Aliases: historyIndexDense
>
> ### ** Examples
>
> set.seed(1)
> ### functional covariate X(t) ###
> phi1 <- function(t) sin(pi*t / 5) / sqrt(5)
> phi2 <- function(t) cos(pi*t / 5) / sqrt(5)
> lambdaX <- c(10, 5)
> n <- 150
> N <- 101
> Xi <- matrix(rnorm(2*n), nrow = n, ncol = 2)
> denseLt <- list()
> denseLy <- list()
> t0 <- seq(0, 15, length.out = N)
> for (i in 1:n) {
+ denseLt[[i]] <- t0
+ denseLy[[i]] <- lambdaX[1]*Xi[i, 1]*phi1(t0) + lambdaX[2]*Xi[i, 2]*phi2(t0)
+ }
> denseX0 <- list(Ly = denseLy, Lt = denseLt)
>
> ### generate coefficient function gamma(u), beta(u) ###
> Lag <- 5
> u0 <- t0[t0<=Lag]
> t0_out <- t0[t0>=Lag]
> gamma_u <- function(u) sqrt(2/5) * cos(pi * u /5)
> beta_1 <- function(t) 5*sin(pi*t/10)
> beta_0 <- function(t) t^2/2
>
> ### functional response Y(t), t in t0_out ###
> denseLt <- list()
> denseLy <- list()
> for (i in 1:n) {
+ denseLt[[i]] <- t0_out
+ Xt <- denseX0$Ly[[i]]
+ Xtu <- t(sapply((1:N)[t0>=Lag], function(j){
+ rev(Xt[(j-length(u0)+1):j]) #history index for X[t-u:t]
+ }))
+ IntGammaXtu <- apply(Xtu, 1, function(v){
+ fdapace::trapzRcpp(u0, gamma_u(u0) * v)
+ })
+ #append 0 in the first length(u0)-1 element(useless info. in our modeling)
+ denseLy[[i]] <- beta_0(t0_out) + IntGammaXtu * beta_1(t0_out) + rnorm(length(t0_out), 0, 0.1)
+ }
> denseY <- list(Ly = denseLy, Lt = denseLt)
>
> ### functional predictor X(t) (adjust for t0_out) ###
> denseLt <- list()
> denseLy <- list()
> for (i in 1:n){
+ denseLt[[i]] <- t0_out
+ denseLy[[i]] <- denseX0$Ly[[i]][t0>=Lag]
+ }
> denseX <- list(Ly = denseLy,
+ Lt = denseLt)
> fit <- historyIndexDense(Y = denseY, X = list(X = denseX), Lag = Lag)
Error: 'FLM1' is not an exported object from 'namespace:fdapace'
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
ConcurReg 3.106 0.164 5.764
GetCI_Dense 2.495 0.069 5.197
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.1.2
Check: examples
Result: ERROR
Running examples in ‘fdaconcur-Ex.R’ failed
The error most likely occurred in:
> ### Name: historyIndexDense
> ### Title: Functional History Index Model
> ### Aliases: historyIndexDense
>
> ### ** Examples
>
> set.seed(1)
> ### functional covariate X(t) ###
> phi1 <- function(t) sin(pi*t / 5) / sqrt(5)
> phi2 <- function(t) cos(pi*t / 5) / sqrt(5)
> lambdaX <- c(10, 5)
> n <- 150
> N <- 101
> Xi <- matrix(rnorm(2*n), nrow = n, ncol = 2)
> denseLt <- list()
> denseLy <- list()
> t0 <- seq(0, 15, length.out = N)
> for (i in 1:n) {
+ denseLt[[i]] <- t0
+ denseLy[[i]] <- lambdaX[1]*Xi[i, 1]*phi1(t0) + lambdaX[2]*Xi[i, 2]*phi2(t0)
+ }
> denseX0 <- list(Ly = denseLy, Lt = denseLt)
>
> ### generate coefficient function gamma(u), beta(u) ###
> Lag <- 5
> u0 <- t0[t0<=Lag]
> t0_out <- t0[t0>=Lag]
> gamma_u <- function(u) sqrt(2/5) * cos(pi * u /5)
> beta_1 <- function(t) 5*sin(pi*t/10)
> beta_0 <- function(t) t^2/2
>
> ### functional response Y(t), t in t0_out ###
> denseLt <- list()
> denseLy <- list()
> for (i in 1:n) {
+ denseLt[[i]] <- t0_out
+ Xt <- denseX0$Ly[[i]]
+ Xtu <- t(sapply((1:N)[t0>=Lag], function(j){
+ rev(Xt[(j-length(u0)+1):j]) #history index for X[t-u:t]
+ }))
+ IntGammaXtu <- apply(Xtu, 1, function(v){
+ fdapace::trapzRcpp(u0, gamma_u(u0) * v)
+ })
+ #append 0 in the first length(u0)-1 element(useless info. in our modeling)
+ denseLy[[i]] <- beta_0(t0_out) + IntGammaXtu * beta_1(t0_out) + rnorm(length(t0_out), 0, 0.1)
+ }
> denseY <- list(Ly = denseLy, Lt = denseLt)
>
> ### functional predictor X(t) (adjust for t0_out) ###
> denseLt <- list()
> denseLy <- list()
> for (i in 1:n){
+ denseLt[[i]] <- t0_out
+ denseLy[[i]] <- denseX0$Ly[[i]][t0>=Lag]
+ }
> denseX <- list(Ly = denseLy,
+ Lt = denseLt)
> fit <- historyIndexDense(Y = denseY, X = list(X = denseX), Lag = Lag)
Error: 'FLM1' is not an exported object from 'namespace:fdapace'
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
Version: 0.1.2
Check: examples
Result: ERROR
Running examples in ‘fdaconcur-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: historyIndexDense
> ### Title: Functional History Index Model
> ### Aliases: historyIndexDense
>
> ### ** Examples
>
> set.seed(1)
> ### functional covariate X(t) ###
> phi1 <- function(t) sin(pi*t / 5) / sqrt(5)
> phi2 <- function(t) cos(pi*t / 5) / sqrt(5)
> lambdaX <- c(10, 5)
> n <- 150
> N <- 101
> Xi <- matrix(rnorm(2*n), nrow = n, ncol = 2)
> denseLt <- list()
> denseLy <- list()
> t0 <- seq(0, 15, length.out = N)
> for (i in 1:n) {
+ denseLt[[i]] <- t0
+ denseLy[[i]] <- lambdaX[1]*Xi[i, 1]*phi1(t0) + lambdaX[2]*Xi[i, 2]*phi2(t0)
+ }
> denseX0 <- list(Ly = denseLy, Lt = denseLt)
>
> ### generate coefficient function gamma(u), beta(u) ###
> Lag <- 5
> u0 <- t0[t0<=Lag]
> t0_out <- t0[t0>=Lag]
> gamma_u <- function(u) sqrt(2/5) * cos(pi * u /5)
> beta_1 <- function(t) 5*sin(pi*t/10)
> beta_0 <- function(t) t^2/2
>
> ### functional response Y(t), t in t0_out ###
> denseLt <- list()
> denseLy <- list()
> for (i in 1:n) {
+ denseLt[[i]] <- t0_out
+ Xt <- denseX0$Ly[[i]]
+ Xtu <- t(sapply((1:N)[t0>=Lag], function(j){
+ rev(Xt[(j-length(u0)+1):j]) #history index for X[t-u:t]
+ }))
+ IntGammaXtu <- apply(Xtu, 1, function(v){
+ fdapace::trapzRcpp(u0, gamma_u(u0) * v)
+ })
+ #append 0 in the first length(u0)-1 element(useless info. in our modeling)
+ denseLy[[i]] <- beta_0(t0_out) + IntGammaXtu * beta_1(t0_out) + rnorm(length(t0_out), 0, 0.1)
+ }
> denseY <- list(Ly = denseLy, Lt = denseLt)
>
> ### functional predictor X(t) (adjust for t0_out) ###
> denseLt <- list()
> denseLy <- list()
> for (i in 1:n){
+ denseLt[[i]] <- t0_out
+ denseLy[[i]] <- denseX0$Ly[[i]][t0>=Lag]
+ }
> denseX <- list(Ly = denseLy,
+ Lt = denseLt)
> fit <- historyIndexDense(Y = denseY, X = list(X = denseX), Lag = Lag)
Error: 'FLM1' is not an exported object from 'namespace:fdapace'
Execution halted
Flavors: r-patched-linux-x86_64, r-release-linux-x86_64
Version: 0.1.2
Check: dependencies in R code
Result: NOTE
Unexported object imported by a ':::' call: ‘fdapace:::interp2lin’
See the note in ?`:::` about the use of this operator.
Flavors: r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64