Man pages for acweisha/gFPCAClassif
Classification of Binary Functional Data
| acc_data_test | Data about the 100 accounts in the testing set |
| acc_data_train | Data about the 400 accounts in the training set |
| bivariate_smooth | Estimate smooth covariance function |
| d_logit | function to return the derivative of the logit |
| estimate_eigenfunctions | Function to estimate eigenfunctions |
| estimate_eigenfunctions2 | Function to estimate eigenfunctions when there are two... |
| estimate_scores | Solve the GLMM based on the Estimates of the scores for the... |
| estimate_scores_normal | Solve the LMM based on the Estimates of the scores for the... |
| fit_ajs_model | function used to train the gAR models |
| func.cur | Function used in the estimation of the covariance functions... |
| generate_binary_fns | Function used to generate the binary valued functional data... |
| generate_data_with_S | Functions used to generate latent state data in the various... |
| generate_latent_process | Function used to generate the latent curves for simulation... |
| generate_multilevel_data | Functions used to generate data in the various scenarios in... |
| get_length_pve | Function: Get number of functions based on the pve and... |
| get_mat_i | Function used in covariance estimation used for |
| get_pdf_den2 | Function: To get the density values of new scores for an... |
| get_true_alpha | function to get true properties of S for the simulation study |
| get_true_bases | function to get basis for simulation study |
| gMFPCA | Function for fitting the gmFPCA |
| gmFPCA_predict | Function for predicting the groups for new gmFPCA Classifier |
| gsFPCA | Function for modeling single-level fpca |
| gsFPCA_predict | Function for predicting new groups of based on single... |
| hello | Hello, World! |
| invlogit | Function to return the inverse of the logit |
| k_v_func | Function used to estimate the covariance functions in the... |
| K_v_func_over_j | Function used to estimate the covariance functions in the... |
| k_w_func | Function used to estimate the covariance functions in the... |
| K_w_func_over_j | Function used to estimate the covariance functions in the... |
| logit | Function to return the logit of x |
| make_pos_semi_def | Function that makes a matrix positive semi definite |
| multilevel_exponential_fpca | Estimate mean function, eigenfunctions, and eigenvalues for... |
| multilevel_linear_fpca | Estimate mean function, eigenfunctions, and eigenvalues for... |
| nb_updated | Function: Estimate predicted values for a given value of... |
| nb_updated_grid | Function: Grid search to estimate predicted values and... |
| nb_updated_grid_cat | Function: Grid search to estimate predicted values and... |
| nb_updated_grid_cat_only | Function: Grid search to estimate predicted values and... |
| nb_updated_grid_scores_cat_only | Function: Grid search to estimate predicted values and... |
| nb_updated_grid_scores_only | Function: Grid search to estimate predicted values and... |
| nb_updated_scores_only | Function: Grid search to estimate predicted values and... |
| predict_new_ind_group_model | function used to predict the group for new individuals based... |
| regression_bf2 | Function: wrapper function for bayesglm() which outputs... |
| regression_g | Generalized additive model function gam() fits the observed... |
| X_dat_m_test | The multilevel binary-valued functional data summarizing... |
| X_dat_m_train | The multilevel binary-valued functional data summarizing... |
| X_dat_test | The binary-valued functional data summarizing 2-weeks of... |
| X_dat_train | The binary-valued functional data summarizing 2-weeks of... |
