Last updated on 2025-10-31 13:51:23 CET.
| Package | ERROR | OK |
|---|---|---|
| BKTR | 3 | 10 |
Current CRAN status: ERROR: 3, OK: 10
Version: 0.2.0
Check: examples
Result: ERROR
Running examples in 'BKTR-Ex.R' failed
The error most likely occurred in:
> ### Name: BKTRRegressor
> ### Title: R6 class encapsulating the BKTR regression elements
> ### Aliases: BKTRRegressor
>
> ### ** Examples
>
> ## Don't show:
> if (torch::torch_is_installed()) (if (getRversion() >= "3.4") withAutoprint else force)({ # examplesIf
+ ## End(Don't show)
+ # Create a BIXI data collection instance containing multiple dataframes
+ bixi_data <- BixiData$new(is_light = TRUE) # Use light version for example
+
+ # Create a BKTRRegressor instance
+ bktr_regressor <- BKTRRegressor$new(
+ formula = nb_departure ~ 1 + mean_temp_c + area_park,
+ data_df <- bixi_data$data_df,
+ spatial_positions_df = bixi_data$spatial_positions_df,
+ temporal_positions_df = bixi_data$temporal_positions_df,
+ burn_in_iter = 5, sampling_iter = 10) # For example only (too few iterations)
+
+ # Launch the MCMC sampling
+ bktr_regressor$mcmc_sampling()
+
+ # Get the summary of the bktr regressor
+ summary(bktr_regressor)
+
+ # Get estimated response variables for missing values
+ bktr_regressor$imputed_y_estimates
+
+ # Get the list of sampled betas for given spatial, temporal and feature labels
+ bktr_regressor$get_iterations_betas(
+ spatial_label = bixi_data$spatial_positions_df$location[1],
+ temporal_label = bixi_data$temporal_positions_df$time[1],
+ feature_label = 'mean_temp_c')
+
+ # Get the summary of all betas for the 'mean_temp_c' feature
+ bktr_regressor$get_beta_summary_df(feature_labels = 'mean_temp_c')
+ ## Don't show:
+ }) # examplesIf
> bixi_data <- BixiData$new(is_light = TRUE)
> bktr_regressor <- BKTRRegressor$new(formula = nb_departure ~ 1 + mean_temp_c +
+ area_park, data_df <- bixi_data$data_df, spatial_positions_df = bixi_data$spatial_positions_df,
+ temporal_positions_df = bixi_data$temporal_positions_df, burn_in_iter = 5, sampling_iter = 10)
Flavor: r-devel-windows-x86_64
Version: 0.2.0
Check: whether package can be installed
Result: WARN
Found the following significant warnings:
Warning: Torch libraries are installed but loading them caused a segfault.
Flavors: r-release-windows-x86_64, r-oldrel-windows-x86_64
Version: 0.2.0
Check: examples
Result: ERROR
Running examples in 'BKTR-Ex.R' failed
The error most likely occurred in:
> ### Name: BKTRRegressor
> ### Title: R6 class encapsulating the BKTR regression elements
> ### Aliases: BKTRRegressor
>
> ### ** Examples
>
> ## Don't show:
> if (torch::torch_is_installed()) (if (getRversion() >= "3.4") withAutoprint else force)({ # examplesIf
+ ## End(Don't show)
+ # Create a BIXI data collection instance containing multiple dataframes
+ bixi_data <- BixiData$new(is_light = TRUE) # Use light version for example
+
+ # Create a BKTRRegressor instance
+ bktr_regressor <- BKTRRegressor$new(
+ formula = nb_departure ~ 1 + mean_temp_c + area_park,
+ data_df <- bixi_data$data_df,
+ spatial_positions_df = bixi_data$spatial_positions_df,
+ temporal_positions_df = bixi_data$temporal_positions_df,
+ burn_in_iter = 5, sampling_iter = 10) # For example only (too few iterations)
+
+ # Launch the MCMC sampling
+ bktr_regressor$mcmc_sampling()
+
+ # Get the summary of the bktr regressor
+ summary(bktr_regressor)
+
+ # Get estimated response variables for missing values
+ bktr_regressor$imputed_y_estimates
+
+ # Get the list of sampled betas for given spatial, temporal and feature labels
+ bktr_regressor$get_iterations_betas(
+ spatial_label = bixi_data$spatial_positions_df$location[1],
+ temporal_label = bixi_data$temporal_positions_df$time[1],
+ feature_label = 'mean_temp_c')
+
+ # Get the summary of all betas for the 'mean_temp_c' feature
+ bktr_regressor$get_beta_summary_df(feature_labels = 'mean_temp_c')
+ ## Don't show:
+ }) # examplesIf
> bixi_data <- BixiData$new(is_light = TRUE)
> bktr_regressor <- BKTRRegressor$new(formula = nb_departure ~ 1 + mean_temp_c +
+ area_park, data_df <- bixi_data$data_df, spatial_positions_df = bixi_data$spatial_positions_df,
+ temporal_positions_df = bixi_data$temporal_positions_df, burn_in_iter = 5, sampling_iter = 10)
Error in cpp_torch_float64() :
Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Calls: <Anonymous> ... <Anonymous> -> <Anonymous> -> <Anonymous> -> cpp_torch_float64
Execution halted
Flavors: r-release-windows-x86_64, r-oldrel-windows-x86_64