| choose.models |
Choose a distribution in the MSMN, MSMSN, MSSMN and/or MSMSNC classes |
| choose.MSMN |
Choose a distribution in the MSMN, MSMSN, MSSMN and/or MSMSNC classes |
| choose.MSMSN |
Choose a distribution in the MSMN, MSMSN, MSSMN and/or MSMSNC classes |
| choose.MSMSNC |
Choose a distribution in the MSMN, MSMSN, MSSMN and/or MSMSNC classes |
| choose.MSSMN |
Choose a distribution in the MSMN, MSMSN, MSSMN and/or MSMSNC classes |
| choose2 |
Select a distribution in the MSMN, MSSMN, MSMSN or/and MSMSNC classes and perform covariates selection. |
| distMahal |
Mahalanobis distance for fitted models in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| dtgamma |
Truncated gamma distribution |
| estimate.MCN |
Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| estimate.MN |
Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| estimate.MSCEC |
Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| estimate.MSCN |
Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| estimate.MSCN2 |
Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| estimate.MSL |
Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| estimate.MSN |
Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| estimate.MSNC |
Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| estimate.MSSL |
Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| estimate.MSSL2 |
Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| estimate.MSSLEC |
Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| estimate.MSTEC |
Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| estimate.MSTN |
Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| estimate.MSTT |
Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| estimate.MT |
Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| FI.MCN |
Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes. |
| FI.MN |
Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes. |
| FI.MSCEC |
Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes. |
| FI.MSCN |
Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes. |
| FI.MSCN2 |
Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes. |
| FI.MSL |
Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes. |
| FI.MSN |
Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes. |
| FI.MSNC |
Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes. |
| FI.MSSL |
Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes. |
| FI.MSSL2 |
Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes. |
| FI.MSSLEC |
Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes. |
| FI.MSTEC |
Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes. |
| FI.MSTN |
Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes. |
| FI.MSTT |
Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes. |
| FI.MT |
Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes. |
| matrix.sqrt |
Square root of a matrix |
| mbackcrit |
Multivariate backward based on the AIC or BIC criteria |
| mbacksign |
Multivariate Backward Based on Significance |
| plot.skewMLRM |
Plot an object of the "skewMLRM" class produced with the function distMahal. |
| qtgamma |
Truncated gamma distribution |
| rMCN |
Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| rMN |
Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| rMSCEC |
Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| rMSCN |
Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| rMSCN2 |
Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| rMSL |
Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| rMSN |
Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| rMSNC |
Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| rMSSL |
Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| rMSSL2 |
Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| rMSSLEC |
Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| rMSTEC |
Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| rMSTN |
Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| rMSTT |
Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| rMT |
Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classes |
| solve2 |
Computes the inverse of a matrix |
| summary.skewMLRM |
Print a summary for a object estimate.xxx |
| vcov.skewMLRM |
Calculate Variance-Covariance Matrix for a Fitted Model Object |
| vech |
Vectorize a symmetric matrix |
| xpnd |
Reconstitute a symmetric matrix from a vector. |
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