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 |