{ "_id": "6a103b94acfb0bcc41c9b8bd", "Package": "SmoothPLS", "Type": "Package", "Title": "Partial Least-Squares Algorithm for Categorical and Scalar\nFunctional Data", "Version": "0.1.5", "Date": "2026-04-10", "Authors@R": "c(\nperson(\n\"Francois\", \"Bassac\",\nemail = \"fr.bassac@gmail.com\",\nrole = c(\"aut\", \"cre\")\n)\n)", "Description": "Performs the Partial Least-Squares ('PLS') algorithm for\nfunctional data through the concept of active area integration.\nThis approach builds upon the basis expansion methods for\nfunctional 'PLS' regression described in Aguilera et al. (2010)\n. The package seamlessly\nhandles both Scalar Functional Data ('SFD') and Categorical\nFunctional Data ('CFD'), providing interpretable regression\ncurves even for discrete state changes. It was developed during\na PhD thesis between 'DECATHLON' and French research institute\n'INRIA' 2022-2026. The 'SmoothPLS' method does not directly\ndecompose the data into a basis; rather, it assumes the data is\nknown as precisely as desired, and for every 'PLS' component,\nthe weight functions are decomposed into the basis. For both\nsingle-state and multi-state 'CFD' as well as 'SFD', the\nalgorithm is implemented for a scalar response. To provide a\nbaseline, a naive 'PLS' method on time-value functions and\nstandard Functional 'PLS' are also implemented.", "License": "MIT + file LICENSE", "URL": "https://github.com/FrancoisBassac/SmoothPLS,\nhttps://FrancoisBassac.github.io/SmoothPLS/", "BugReports": "https://github.com/FrancoisBassac/SmoothPLS/issues", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Config/pak/sysreqs": "make libicu-dev", "Repository": "https://francoisbassac.r-universe.dev", "Date/Publication": "2026-05-11 08:02:06 UTC", "RemoteUrl": "https://github.com/francoisbassac/smoothpls", "RemoteRef": "HEAD", "RemoteSha": "aa88cb3d611ea0cf0bc0be0559737a256993208c", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-11 10:49:04 UTC", "User": "root" }, "Author": "Francois Bassac [aut, cre]", "Maintainer": "Francois Bassac ", "MD5sum": "7b96989e32e72c3ef0a55d4190a39d58", "_user": "francoisbassac", "_type": "src", "_file": "SmoothPLS_0.1.5.tar.gz", "_fileid": "1f573b9c9e6126ee14c95dcfc6e23b4a924348dd7560e6e617b4393b54920c1f", "_filesize": 13332922, "_sha256": "1f573b9c9e6126ee14c95dcfc6e23b4a924348dd7560e6e617b4393b54920c1f", "_created": "2026-05-11T10:49:04.000Z", "_published": "2026-05-22T11:18:44.859Z", "_distro": "noble", "_jobs": [ { "job": 77369029187, "time": 201, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "6916548100" }, { "job": 77369029303, "time": 200, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "6916549946" }, { "job": 77369029338, "time": 161, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "6916572151" }, { "job": 77369029387, "time": 186, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "6916726247" }, { "job": 77369028953, "time": 372, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6916482786" }, { "job": 77369028867, "time": 126, "config": 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"name": "François" }, "_downloads": { "count": 110, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/SmoothPLS" }, "_devurl": "https://github.com/francoisbassac/smoothpls", "_pkgdown": "https://FrancoisBassac.github.io/SmoothPLS/", "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "extra/SmoothPLS.html", "manual.pdf" ], "_homeurl": "https://github.com/francoisbassac/smoothpls", "_realowner": "francoisbassac", "_cranurl": true, "_releases": [ { "version": "0.1.5", "date": "2026-05-04" } ], "_exports": [ "assemble_basis_metric", "assert_multivariate_smoothPLS_inputs", "beta_1_real_func", "beta_2_real_func", "beta_3_real_func", "beta_4_real_func", "beta_5_real_func", "beta_6_real_func", "beta_7_real_func", "beta_list_generation", "block_diag", "build_df_per_state", "build_reg_curve_spls", "build_spls_functions", "cat_data_to_indicator", "convert_to_wide_format", "create_bspline_basis", "determine_next_state", "eval_max_min_y", "evaluate_curves_distances", "evaluate_gamma_ij", "evaluate_id_func_integral", "evaluate_id_func_integral_deprecated", "evaluate_lambda", "evaluate_metric", "evaluate_reg_curve_SPLS_uni", "evaluate_results", "evaluate_V_i_function", "evaluate_variance_explained", "from_basis_to_fdlist", "from_fd_to_func", "funcPLS", "funcPLS_predict", "generate_probabilities", "generate_X_df", "generate_X_df_CFD", "generate_X_df_multistates", "generate_X_df_SFD", "generate_X_df_SFD_data", "generate_X_df_test", "generate_Y_df", "generate_Y_df_CFD", "gram_schmidt_orthonormalize", "help_smoothPLS", "initial_state_determination", "is_orthogonal", "is_orthonormal", "lambda_determination", "mae_values", "multivariate_assemble_basis_metric", "naivePLS", "naivePLS_formatting", "naivePLS_predict", "number_of_test_id", "obj_list_creation", "orthonormalize_basis_list", "plot_CFD_individuals", "plot_fd_list", "plot_model_metrics_base", "plot_real_and_smoothed_data_ind", "press_model", "press_values", "r_squared_values", "reg_curve_funcPLS_evaluation", "regularize_time_series", "remove_duplicate_states", "select_from_fd_list", "smoothPLS", "smoothPLS_predict", "smoothPLS_predict_uni", "split_in_state_df", "state_indicator", "state_indicator_old", "test_basis_properties", "transfer_probabilities", "transition_matrix" ], "_help": [ { "page": "assemble_basis_metric", "title": "assemble_basis_metric", "topics": [ "assemble_basis_metric" ] }, { "page": "assert_funcPLS_inputs", "title": "assert_funcPLS_inputs", "topics": [ "assert_funcPLS_inputs" ] }, { "page": "assert_multivariate_naivePLS_inputs", "title": "assert_multivariate_naivePLS_inputs", "topics": [ "assert_multivariate_naivePLS_inputs" ] }, { "page": "assert_multivariate_smoothPLS_inputs", "title": "assert_multivariate_smoothPLS_inputs", "topics": [ "assert_multivariate_smoothPLS_inputs" ] }, { "page": "beta_1_real_func", "title": "beta_1_real_func", "topics": [ "beta_1_real_func" ] }, { "page": "beta_2_real_func", "title": "beta_2_real_func", "topics": [ "beta_2_real_func" ] }, { "page": "beta_3_real_func", "title": "beta_3_real_func", "topics": [ "beta_3_real_func" ] }, { "page": "beta_4_real_func", "title": "beta_4_real_func", "topics": [ "beta_4_real_func" ] }, { "page": "beta_5_real_func", "title": "beta_5_real_func", "topics": [ "beta_5_real_func" ] }, { "page": "beta_6_real_func", "title": "beta_6_real_func", "topics": [ "beta_6_real_func" ] }, { "page": "beta_7_real_func", "title": "beta_7_real_func", "topics": [ "beta_7_real_func" ] }, { "page": "beta_list_generation", "title": "beta_list_generation", "topics": [ "beta_list_generation" ] }, { "page": "block_diag", "title": "block_diag", "topics": [ "block_diag" ] }, { "page": "build_df_per_state", "title": "build_df_per_state", "topics": [ "build_df_per_state" ] }, { "page": "build_new_data_list", "title": "build_new_data_list", "topics": [ "build_new_data_list" ] }, { "page": "build_reg_curve_spls", "title": "build_reg_curve_spls", "topics": [ "build_reg_curve_spls" ] }, { "page": "build_spls_functions", "title": "build_spls_functions", "topics": [ "build_spls_functions" ] }, { "page": "build_u_ki_list", "title": "build_u_ki_list", "topics": [ "build_u_ki_list" ] }, { "page": "cat_data_to_indicator", "title": "cat_data_to_indicator", "topics": [ "cat_data_to_indicator" ] }, { "page": "convert_to_wide_format", "title": "convert_to_wide_format", "topics": [ "convert_to_wide_format" ] }, { "page": "create_bspline_basis", "title": "create_bspline_basis", "topics": [ "create_bspline_basis" ] }, { "page": "determine_curve_name", "title": "determine_curve_name", "topics": [ "determine_curve_name" ] }, { "page": "determine_next_state", "title": "determine_next_state", "topics": [ "determine_next_state" ] }, { "page": "eval_max_min_y", "title": "eval_max_min_y", "topics": [ "eval_max_min_y" ] }, { "page": "evaluate_curves_distances", "title": "evaluate_curves_distances", "topics": [ "evaluate_curves_distances" ] }, { "page": "evaluate_gamma_ij", "title": "evaluate_gamma_ij", "topics": [ "evaluate_gamma_ij" ] }, { "page": "evaluate_id_func_integral", "title": "evaluate_id_func_integral", "topics": [ "evaluate_id_func_integral" ] }, { "page": "evaluate_id_func_integral_deprecated", "title": "evaluate_id_func_integral", "topics": [ "evaluate_id_func_integral_deprecated" ] }, { "page": "evaluate_lambda", "title": "evaluate_lambda", "topics": [ "evaluate_lambda" ] }, { "page": "evaluate_lambda_CFD", "title": "evaluate_lambda_CFD", "topics": [ "evaluate_lambda_CFD" ] }, { "page": "evaluate_lambda_CFD_para_v1", "title": "evaluate_lambda_CFD_para_v1", "topics": [ "evaluate_lambda_CFD_para_v1" ] }, { "page": "evaluate_lambda_SFD", "title": "evaluate_lambda_SFD", "topics": [ "evaluate_lambda_SFD" ] }, { "page": "evaluate_lambda_SFD_para_v1", "title": "evaluate_lambda_SFD_para_v1", "topics": [ "evaluate_lambda_SFD_para_v1" ] }, { "page": "evaluate_metric", "title": "evaluate_metric", "topics": [ "evaluate_metric" ] }, { "page": "evaluate_reg_curve_SPLS_uni", "title": "evaluate_reg_curve_SPLS_uni", "topics": [ "evaluate_reg_curve_SPLS_uni" ] }, { "page": "evaluate_results", "title": "evaluate_results This function evaluates the PRESS, RMSE, MAE, R2 and the % of variance between Y and Y_hat", "topics": [ "evaluate_results" ] }, { "page": "evaluate_V_i_function", "title": "evaluate_V_i_function", "topics": [ "evaluate_V_i_function" ] }, { "page": "evaluate_variance_explained", "title": "evaluate_variance_explained", "topics": [ "evaluate_variance_explained" ] }, { "page": "from_basis_to_fdlist", "title": "from_basis_to_fdlist", "topics": [ "from_basis_to_fdlist" ] }, { "page": "from_fd_to_func", "title": "from_fd_to_func", "topics": [ "from_fd_to_func" ] }, { "page": "funcPLS", "title": "funcPLS", "topics": [ "funcPLS" ] }, { "page": "funcPLS_predict", "title": "funcPLS_predict", "topics": [ "funcPLS_predict" ] }, { "page": "generate_probabilities", "title": "generate_probabilities", "topics": [ "generate_probabilities" ] }, { "page": "generate_X_df", "title": "generate_X_df", "topics": [ "generate_X_df" ] }, { "page": "generate_X_df_CFD", "title": "generate_X_df_CFD", "topics": [ "generate_X_df_CFD" ] }, { "page": "generate_X_df_multistates", "title": "generate_X_df_multistates", "topics": [ "generate_X_df_multistates" ] }, { "page": "generate_X_df_SFD", "title": "generate_X_df_SFD", "topics": [ "generate_X_df_SFD" ] }, { "page": "generate_X_df_SFD_data", "title": "generate_X_df_SFD_data", "topics": [ "generate_X_df_SFD_data" ] }, { "page": "generate_X_df_test", "title": "generate_X_df_test", "topics": [ "generate_X_df_test" ] }, { "page": "generate_Y_df", "title": "generate_Y_df", "topics": [ "generate_Y_df" ] }, { "page": "generate_Y_df_CFD", "title": "generate_Y_df_CFD", "topics": [ "generate_Y_df_CFD" ] }, { "page": "generate_Y_df_SFD", "title": "generate_Y_df_SFD", "topics": [ "generate_Y_df_SFD" ] }, { "page": "gram_schmidt_orthonormalize", "title": "gram_schmidt_orthonormalize", "topics": [ "gram_schmidt_orthonormalize" ] }, { "page": "help_smoothPLS", "title": "help_smoothPLS", "topics": [ "help_smoothPLS" ] }, { "page": "initial_state_determination", "title": "initial_state_determination", "topics": [ "initial_state_determination" ] }, { "page": "is_orthogonal", "title": "is_orthogonal", "topics": [ "is_orthogonal" ] }, { "page": "is_orthonormal", "title": "is_orthonormal", "topics": [ "is_orthonormal" ] }, { "page": "lambda_determination", "title": "lambda_determination", "topics": [ "lambda_determination" ] }, { "page": "mae_values", "title": "mae_values", "topics": [ "mae_values" ] }, { "page": "multivariate_alpha_building", "title": "multivariate_alpha_building", "topics": [ "multivariate_alpha_building" ] }, { "page": "multivariate_assemble_basis_metric", "title": "multivariate_assemble_basis_metric", "topics": [ "multivariate_assemble_basis_metric" ] }, { "page": "naivePLS", "title": "naivePLS", "topics": [ "naivePLS" ] }, { "page": "naivePLS_formatting", "title": "naivePLS_formatting", "topics": [ "naivePLS_formatting" ] }, { "page": "naivePLS_predict", "title": "naivePLS_predict", "topics": [ "naivePLS_predict" ] }, { "page": "number_of_test_id", "title": "number_of_test_id", "topics": [ "number_of_test_id" ] }, { "page": "obj_list_creation", "title": "obj_list_creation", "topics": [ "obj_list_creation" ] }, { "page": "orthonormalize_basis_list", "title": "orthonormalize_basis_list", "topics": [ "orthonormalize_basis_list" ] }, { "page": "p_w_building", "title": "p_w_building", "topics": [ "p_w_building" ] }, { "page": "plot_CFD_individuals", "title": "plot_CFD_individuals", "topics": [ "plot_CFD_individuals" ] }, { "page": "plot_fd_list", "title": "plot_fd_list", "topics": [ "plot_fd_list" ] }, { "page": "plot_model_metrics_base", "title": "plot_model_metrics_base", "topics": [ "plot_model_metrics_base" ] }, { "page": "plot_real_and_smoothed_data_ind", "title": "plot_real_and_smoothed_data_ind", "topics": [ "plot_real_and_smoothed_data_ind" ] }, { "page": "press_model", "title": "press_model This function evaluates the PRESS error 'LOO' of a lm or glm model.", "topics": [ "press_model" ] }, { "page": "press_values", "title": "press_values", "topics": [ "press_values" ] }, { "page": "r_squared_values", "title": "r_squared_values", "topics": [ "r_squared_values" ] }, { "page": "reg_curve_funcPLS_evaluation", "title": "reg_curve_funcPLS_evaluation", "topics": [ "reg_curve_funcPLS_evaluation" ] }, { "page": "regularize_time_series", "title": "regularize_time_series", "topics": [ "regularize_time_series" ] }, { "page": "regularize_time_series_CFD", "title": "regularize_time_series_CFD", "topics": [ "regularize_time_series_CFD" ] }, { "page": "regularize_time_series_SFD", "title": "regularize_time_series_SFD", "topics": [ "regularize_time_series_SFD" ] }, { "page": "remove_duplicate_states", "title": "remove_duplicate_states", "topics": [ "remove_duplicate_states" ] }, { "page": "select_from_fd_list", "title": "select_from_fd_list", "topics": [ "select_from_fd_list" ] }, { "page": "smoothPLS", "title": "smoothPLS_multi", "topics": [ "smoothPLS" ] }, { "page": "smoothPLS_CFD_predict", "title": "smoothPLS_CFD_predict (Updated v0.1.4)", "topics": [ "smoothPLS_CFD_predict" ] }, { "page": "smoothPLS_CFD_predict_para_v1", "title": "smoothPLS_CFD_predict_para_v1 (Updated v0.1.2)", "topics": [ "smoothPLS_CFD_predict_para_v1" ] }, { "page": "smoothPLS_predict", "title": "smoothPLS_multi_predict", "topics": [ "smoothPLS_predict" ] }, { "page": "smoothPLS_predict_uni", "title": "smoothPLS_predict_uni", "topics": [ "smoothPLS_predict_uni" ] }, { "page": "smoothPLS_SFD_predict", "title": "smoothPLS_SFD_predict", "topics": [ "smoothPLS_SFD_predict" ] }, { "page": "smoothPLS_SFD_predict_para_v1", "title": "smoothPLS_SFD_predict_para_v1", "topics": [ 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