Statistical Analysis for Categorical Functional Data
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘catfda’ version 0.1.0
Help Pages
| estimate_categ_func_data | Estimate categorical functional data using the specified link function |
| estimate_categ_func_data_binomial_parallel | Estimate Z and p curves using binomial link GAMs (parallel version) |
| estimate_categ_func_data_multinomial | Estimate Z and p curves for categorical functional data (multinomial case) |
| estimate_categ_func_data_multinomial_parallel | Parallel estimation of Z and p using multinomial link GAM |
| estimate_categ_func_data_probit | Estimate Z and p curves using (generalized) probit or binomial models |
| estimate_categ_func_data_probit_parallel | Parallel estimation of Z and p using (probit or binomial) link GAMs |
| generate_categ_func_data | Generate synthetic categorical functional data (W) and one-hot encoded array (X) |
| get_x_from_w | Create one-hot encoded functional data array from categorical observations |