Validation Report - deepregression@2.2.0
Context
This report is fully automated and builds on rhub/ref-image image. Documents the installation of this package on an open source R environment, focusing on:
- Installation environment description
- Testing coverage
It is limited to assess whether unit tests and documentation are present and can execute without error. An assessment would be required that the tests and documentation are meaningful.
Package deepregression
Metric based risk assessment
The following metrics are derived from the riskmetric R package.
| has_news | 0 |
| exported_namespace | 117 |
| has_vignettes | 0 |
| export_help | 117 |
| has_website | FALSE |
| has_maintainer | David Ruegamer david.ruegamer@gmail.com |
| bugs_status | package DESCRIPTION does not have a BugReports field |
| has_bug_reports_url | 0 |
| downloads_1yr | 3694 |
| reverse_dependencies | 1 |
| has_examples | 1 |
| dependencies | 15 |
| license | GPL-3 |
Package general assessment: Coverage, check results, size, download the last year, reverse dependencies and number of dependencies.
Dependencies
Overall the package has these dependencies:
| package | type | |
|---|---|---|
| 1 | tensorflow (>= 2.2.0) | Depends |
| 2 | tfprobability | Depends |
| 3 | keras (>= 2.2.0) | Depends |
| 4 | mgcv | Imports |
| 5 | dplyr | Imports |
| 6 | R6 | Imports |
| 7 | reticulate (>= 1.14) | Imports |
| 8 | Matrix | Imports |
| 9 | magrittr | Imports |
| 10 | tfruns | Imports |
| 11 | methods | Imports |
| 12 | coro (>= 1.0.3) | Imports |
| 13 | torchvision (>= 0.5.1) | Imports |
| 14 | luz (>= 0.4.0) | Imports |
| 15 | torch | Imports |
Package dependencies
Reverse dependencies
Overall the package has 1 reverse dependencies:
deeptrafo
Namespace
Overall the package has 117 exported objects. 116 are documented:
%>% autogam_processor
FALSE TRUE
check_and_install check_input_args_fit
TRUE TRUE
coef.deepregression collect_distribution_parameters
TRUE TRUE
combine_penalties create_family
TRUE TRUE
create_family_torch create_penalty
TRUE TRUE
cv deepregression
TRUE TRUE
distfun_to_dist ensemble
TRUE TRUE
ensemble.deepregression extract_pure_gam_part
TRUE TRUE
extract_S extractlen
TRUE TRUE
extractval extractvals
TRUE TRUE
extractvar family_to_tfd
TRUE TRUE
family_to_trafo family_to_trafo_torch
TRUE TRUE
family_to_trochd fit.deepregression
TRUE TRUE
fitted.deepregression form_control
TRUE TRUE
form2text from_distfun_to_dist_torch
TRUE TRUE
from_preds_to_dist from_preds_to_dist_torch
TRUE TRUE
gam_plot_data gam_processor
TRUE TRUE
get_distribution get_ensemble_distribution
TRUE TRUE
get_gam_part get_gamdata
TRUE TRUE
get_gamdata_reduced_nr get_help_forward_torch
TRUE TRUE
get_layer_by_opname get_layernr_by_opname
TRUE TRUE
get_layernr_trainable get_luz_dataset
TRUE TRUE
get_names_pfc get_node_term
TRUE TRUE
get_nodedata get_partial_effect
TRUE TRUE
get_processor_name get_special
TRUE TRUE
get_type_pfc get_weight_by_name
TRUE TRUE
get_weight_by_opname handle_gam_term
TRUE TRUE
int_processor inverse_group_lasso_pen
TRUE TRUE
keras_dr layer_add_identity
TRUE TRUE
layer_concatenate_identity layer_dense_torch
TRUE TRUE
layer_generator layer_group_hadamard
TRUE TRUE
layer_hadamard layer_hadamard_diff
TRUE TRUE
layer_node layer_sparse_batch_normalization
TRUE TRUE
layer_sparse_conv_2d layer_spline
TRUE TRUE
layer_spline_torch lin_processor
TRUE TRUE
log_score make_folds
TRUE TRUE
make_generator_from_matrix make_tfd_dist
TRUE TRUE
make_torch_dist makeInputs
TRUE TRUE
makelayername model_torch
TRUE TRUE
multioptimizer na_omit_list
TRUE TRUE
names_families node_processor
TRUE TRUE
orthog_control orthog_P
TRUE TRUE
orthog_structured_smooths_Z pen_layer
TRUE TRUE
penalty_control plot_cv
TRUE TRUE
plot.deepregression precalc_gam
TRUE TRUE
predict_gam_handler predict_gen
TRUE TRUE
predict.deepregression prepare_data
TRUE TRUE
prepare_newdata prepare_torch_distr_mixdistr
TRUE TRUE
print.deepregression quant
TRUE TRUE
re_layer regularizer_group_lasso
TRUE TRUE
reinit_weights ri_processor
TRUE TRUE
simplyconnected_layer stddev
TRUE TRUE
stop_iter_cv_result subnetwork_init
TRUE TRUE
subnetwork_init_torch tf_repeat
TRUE TRUE
tf_row_tensor tf_split_multiple
TRUE TRUE
tf_stride_cols tf_stride_last_dim_tensor
TRUE TRUE
tib_layer tibgroup_layer
TRUE TRUE
tibgroup_layer_torch tiblinlasso_layer_torch
TRUE TRUE
weight_control
TRUE Examples
There are 114 help pages with examples, from 114 (100.00 %).
NEWS
The package has NEWS file and it is current.
License
The package uses .
Installation environment
System Info
| Field | Value |
|---|---|
| Image | rhub/ref-image |
| OS | Ubuntu 24.04.1 LTS |
| Platform | x86_64-pc-linux-gnu |
| System | x86_64, linux-gnu |
| Execution Time | 2025-02-18 03:35:41 UTC |
System information. Table about the system used to check the package.
R Session Info
Information about the R environment and capabilities:
R version 4.4.2 (2024-10-31)
Platform: x86_64-pc-linux-gnu
Running under: Ubuntu 24.04.1 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so; LAPACK version 3.12.0
locale:
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[4] LC_COLLATE=C.UTF-8 LC_MONETARY=C.UTF-8 LC_MESSAGES=C.UTF-8
[7] LC_PAPER=C.UTF-8 LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C
time zone: UTC
tzcode source: system (glibc)
attached base packages:
[1] tools stats graphics grDevices utils datasets methods
[8] base
loaded via a namespace (and not attached):
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[10] xfun_0.50 digest_0.6.37 rlang_1.1.5
[13] evaluate_1.0.3 Platform used:
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TRUE TRUE TRUE TRUE FALSE FALSE
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-1.638200e+04 1.638400e+04 Random number generation process:
[1] "Mersenne-Twister" "Inversion" "Rejection" Information about the environment
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