| FactorCopula-package | Factor copula models for mixed continuous and disrete data |
| continuous2ordinal | Continuous/count to ordinal responses |
| count2ordinal | Continuous/count to ordinal responses |
| discrepancy | Diagnostics to detect a factor dependence structure. |
| GSS | The 1994 General Social Survey |
| M2 | Goodness-of-fit of factor copula models for mixed data |
| M2.1F | Goodness-of-fit of factor copula models for mixed data |
| M2.2F | Goodness-of-fit of factor copula models for mixed data |
| mle | Maximum likelhood estimation of factor copula models for mixed data |
| mle1factor | Maximum likelhood estimation of factor copula models for mixed data |
| mle2factor | Maximum likelhood estimation of factor copula models for mixed data |
| mle2factor.bvn | Maximum likelhood estimation of factor copula models for mixed data |
| par2tau | Mapping of Kendall's tau and copula parameter |
| PE | Political-economic risk of 62 countries for the year 1987 |
| r1factor | Simulation of factor copula models for mixed continuous and discrete data |
| r2factor | Simulation of factor copula models for mixed continuous and discrete data |
| rfactor | Simulation of factor copula models for mixed continuous and discrete data |
| select | Model selection of the factor copula models for mixed data |
| select1F | Model selection of the factor copula models for mixed data |
| select2F | Model selection of the factor copula models for mixed data |
| semicorr | Diagnostics to detect tail dependence or tail asymmetry. |
| tau2par | Mapping of Kendall's tau and copula parameter |
| vuong | Vuong's test for the comparison of factor copula models |
| vuong.1f | Vuong's test for the comparison of factor copula models |
| vuong.2f | Vuong's test for the comparison of factor copula models |