Package: cccm 0.1.0
Muhlis Ozdemir
cccm: Crossed Classification Credibility Model
Calculates the credit debt for the next period based on the available data using the cross-classification credibility model.
Authors:
cccm_0.1.0.tar.gz
cccm_0.1.0.tar.gz(r-4.5-noble)cccm_0.1.0.tar.gz(r-4.4-noble)
cccm_0.1.0.tgz(r-4.4-emscripten)cccm_0.1.0.tgz(r-4.3-emscripten)
cccm.pdf |cccm.html✨
cccm/json (API)
# Install 'cccm' in R: |
install.packages('cccm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- debt - Debt Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:8300686677. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 11 2024 |
R-4.5-linux | OK | Nov 11 2024 |
Exports:calculate_generalMeancalculate_group_averages_matrixcalculate_obs_and_group_weightscalculate_variance_and_stdcalculate_varianceComponentscalculate_weights_of_obs_matrixestimate_credibilitysave_namesset_data
Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
General Mean | calculate_generalMean |
Group Averages Matrix | calculate_group_averages_matrix |
Repeats of observations | calculate_obs_and_group_weights |
Variance and Standard Deviation | calculate_variance_and_std |
Variance Components | calculate_varianceComponents |
Weights of observation matrix | calculate_weights_of_obs_matrix |
Crossed Classification Credibility Model. | cccm-package cccm |
Column Wise Matrix Diff | col_diff_matrix_with_vector |
Data checker | control_data |
Debt Data | debt |
Column Wise Matrix Division | div_matrix_cols_with_vector |
Row Wise Matrix Division | div_matrix_rows_with_vector |
The Credibility Premium Estimates | estimate_credibility |
Column Wise Matrix Multiplication | mult_matrix_cols_with_vector |
Row Wise Matrix Diff | row_diff_matrix_with_vector |
Get names | save_names |
Data prep | set_data |