Man pages for edsandorf/cmdlR
Choice Modeling in R
| adj_rho_sqrd | Calculate Adjusted Rho Squared |
| aic | Calculate AIC |
| aic3 | Calculate AIC3 |
| augment.cmdlr | Augment a cmdlr object |
| bic | Calculate BIC |
| bic_star | Calculate BIC* |
| bread | Create the bread of the sandwich |
| caic | Calculate CAIC |
| caic_star | Calculate CAIC* |
| cat_summary_info | Wrapper for cat sequence |
| clean_global_env | Tidying the environment to prepare for estimation |
| cmldr | cmdlr: Choice Modeling in R |
| coef.cmdlr | S3 generic for coef |
| collate | Collate different model objects into a single .csv file |
| compare_choice_shares | Compare choice shares |
| convergence_criteria | Calculate the convergence criteria |
| data_petr_test | A simulated dataset to use for speed comparison between... |
| dbic | Calculate DBIC |
| detach_objects | Detach objects from the environment |
| difference_utility | Take the difference between all utilities and the chosen... |
| digitize | Expand the sequence of integers |
| dot-onAttach | Print package startup message |
| estimate | Function to estimate a choice model using cmdlr |
| estimate_bgw | Estimate the model using the 'bgw' package |
| estimate_maxlik | Estimate the model using the maxLik package |
| estimate_model | Estimate the model |
| estimate_ucminf | Estimate the model using the 'ucminf' package |
| expand_choices | Expand choice variable |
| exp_v | Take the exponent of V |
| fn_1 | Helper function fn_1 |
| fn_1d | Helper function fn_1d |
| fn_1dv | Helper function fn_1dv |
| fn_2 | Helper function fn_2 |
| fn_2d | Helper function fn_2d |
| fn_2dv | Helper function fn_2dv |
| fn_3 | Helper function fn_3 |
| fn_3d | Helper function fn_3d |
| fn_3dv | Helper function fn_3dv |
| fn_4 | Helper function fn_4 |
| fn_4d | Helper function fn_4d |
| fn_4dv | Helper function fn_4dv |
| fn_se_corr | Calculate the standard error of the correlation |
| fn_se_cov | Calculate the standard error of the covariance |
| fn_se_std | Calcualte the standard error of the standard deviation |
| fn_se_var | Calculate the standard error of the variance |
| get_control | Extract the control list |
| get_convergence | Extract the convergence of the model |
| get_convergence_code | Extract the convergence code |
| get_convergence_message | Extract the convergence message |
| get_description | Extract the description of the model |
| get_estimation_end | Extract end time for estimation |
| get_estimation_start | Extract start time for estimation |
| get_function_value | Extract the function value from the model object |
| get_function_values | Extract the function values |
| get_function_value_zero | Extract the function value at zero from the model object |
| get_gradient | Extract the gradient of a model object |
| get_gradient_obs | Extract the gradient observations from a model object |
| get_hessian | Extract the Hessian |
| get_model_frame | Extract the model_frame |
| get_name | Extract the name of the model |
| get_param_final | Extract final parameters from the model object |
| get_param_fixed | Extract fixed parameters from the model object |
| get_param_free | Extract free parameters from the model object |
| get_param_start | Extract starting parameters from the model object |
| get_split_index | Get the split index |
| get_v_chosen | Calculate the utility of the chosen alternative |
| get_worker_info | Function for getting worker info |
| glance.cmdlr | Glance at a cmdlr model object |
| hessian | Calculate the Hessian |
| hessian_complete | Check if the Hessian matrix is complete |
| hessian_condition_number | Get the hessian condition number |
| hqic | Calculate HQIC |
| ht_aic | Calculate HTAIC |
| identify_choice_patterns | Identify choice patterns |
| inspect_list | Inspect a list |
| is_used | Checks if the supplied character string is used in the... |
| lc_conditional | Calculate the conditional probabilities |
| lc_unconditional | Calculate the unconditional probabilities |
| ll_ratio_test | Calculate the log likelihood ratio test for nested models |
| load_packages | Load a multiple packages |
| make_draws | Make random draws |
| make_mlhs | Make Modified Latin Hypercube Draws |
| make_model_name | Create the model name used when saving the data |
| make_pseudo_random | Make pseudo random draws |
| make_scrambled_halton | Make scrambled Halton draws |
| make_scrambled_sobol | Make scrambled sobol draws |
| make_standard_halton | Wrapper for halton() |
| make_standard_sobol | Make sobol draws |
| meat | Create the meat of the sandwich |
| mnl_probabilities | Calculate the MNL probability |
| mnl_zero | Calculate the probability at zero |
| model_fit | Calculate model fit |
| nid | Function for extracting number of individuals |
| nobs.cmdlr | S3 generic for nobs |
| normal_vcov | Normal variance-covariance matrix |
| num_deriv | Obtain the numerical derivative by central difference |
| ordered_logit | Ordered logit |
| pairwise_chisq_test | A pairwise Chi-squared test |
| panel_product | Take product over the sequence of choices |
| parameter_info | Summary of parameter info |
| plot_choice | Plot choice shares |
| poe_test | Test for the difference in empirical distributions |
| prepare | Prepare the estimation environment |
| prepare_alt_avail | Prepare the alternative availabilities |
| prepare_data | Prepare the data for estimation |
| prepare_draws | Prepares the draws |
| prepare_estimation_environment | Prepare the estimation environment |
| prepare_log_lik | Prepares the log likelihood function |
| prepare_num_grad | Prepares the numerical gradient |
| print.cmdlr | A generic print function for printing a 'cmdlr' object |
| pval | Calculate p-values |
| radical_inverse | Compute the radical inverse |
| reexports | Objects exported from other packages |
| rep_cols | Repeat columns |
| replace_na_padding | Replace the NAs introduced by padding the data |
| rep_rows | Repeat rows |
| reshape_panel | Reshape the panel |
| robust_vcov | A sandwich estimator for robust standard errors |
| save | Stores the results of the model to files |
| save_hessian | Save the hessian matrix |
| save_object | Save the model object |
| save_summary | Save the summary to file |
| save_vcov | Save the variance covariance matrix |
| search_simple | Simple search |
| search_smart | Smart search |
| search_start_values | Search for starting values |
| set_controls | Validate and set default estimation controls |
| shuffle | Shuffle the order of points in the unit interval. |
| split_data | Split the data into a list |
| standardize | Standardize a variable |
| stars | Create significance stars |
| subset_data | Subset the data to only include used variables |
| summary.cmdlr | S3 Generic for model summary |
| summary_poe_test | Summary function for poe_test() |
| summary_worker_info | Function for summarizing worker information |
| tidy.cmdlr | Tidy a cmdlr object |
| transform_distribution | Transform distribution |
| transform_lognormal | Transform to the lognormal distribution |
| transform_normal | Transform to the normal distribution |
| transform_triangular | Transform to the triangular distribution |
| transform_uniform | Transform to the uniform distribution |
| validate | Validate model options |
| vcov.cmdlr | S3 generic for vcov |
