R: Estimation for Scale-Shape Mixtures of Skew-Normal Distributions

# Estimation for Scale-Shape Mixtures of Skew-Normal Distributions

## Documentation for package ‘skewMLRM’ version 1.7

- DESCRIPTION file
- Package NEWS

## Help Pages

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.