Package: skewMLRM 1.7

Diego Gallardo

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

Provide data generation and estimation tools for the multivariate scale mixtures of normal presented in Lange and Sinsheimer (1993) <doi:10.2307/1390698>, the multivariate scale mixtures of skew-normal presented in Zeller, Lachos and Vilca (2011) <doi:10.1080/02664760903406504>, the multivariate skew scale mixtures of normal presented in Louredo, Zeller and Ferreira (2021) <doi:10.1007/s13571-021-00257-y> and the multivariate scale mixtures of skew-normal-Cauchy presented in Kahrari et al. (2020) <doi:10.1080/03610918.2020.1804582>.

Authors:Clecio Ferreira [aut], Diego Gallardo [aut, cre], Camila Zeller [aut]

skewMLRM_1.7.tar.gz
skewMLRM_1.7.tar.gz(r-4.7-any)skewMLRM_1.7.tar.gz(r-4.6-any)
skewMLRM_1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
skewMLRM/json (API)
NEWS

# Install 'skewMLRM' in R:
install.packages('skewMLRM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.48 score 1 packages 213 downloads 60 exports 9 dependencies

Last updated from:ae1b7fef65. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK127
source / vignettesOK151
linux-release-x86_64OK122
wasm-releaseOK101

Exports:choose.modelschoose.MSMNchoose.MSMSNchoose.MSMSNCchoose.MSSMNchoose2distMahaldtgammaestimate.MCNestimate.MNestimate.MSCECestimate.MSCNestimate.MSCN2estimate.MSLestimate.MSNestimate.MSNCestimate.MSSLestimate.MSSL2estimate.MSSLECestimate.MSTECestimate.MSTNestimate.MSTTestimate.MTFI.MCNFI.MNFI.MSCECFI.MSCNFI.MSCN2FI.MSLFI.MSNFI.MSNCFI.MSSLFI.MSSL2FI.MSSLECFI.MSTECFI.MSTNFI.MSTTFI.MTmatrix.sqrtmbackcritmbacksignqtgammarMCNrMNrMSCECrMSCNrMSCN2rMSLrMSNrMSNCrMSSLrMSSL2rMSSLECrMSTECrMSTNrMSTTrMTsolve2vechxpnd

Dependencies:clusterGenerationcodetoolsdoParallelforeachiteratorsMASSmatrixcalcmomentsmvtnorm

Readme and manuals

Help Manual

Help pageTopics
Select a distribution in the MSMN, MSSMN, MSMSN or/and MSMSNC classes and perform covariates selection.choose2
Choose a distribution in the MSMN, MSMSN, MSSMN and/or MSMSNC classeschoose.models choose.MSMN choose.MSMSN choose.MSMSNC choose.MSSMN
Mahalanobis distance for fitted models in the MSMN, MSMSN, MSSMN and MSMSNC classesdistMahal
Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classesestimate.MCN estimate.MN estimate.MSCEC estimate.MSCN estimate.MSCN2 estimate.MSL estimate.MSN estimate.MSNC estimate.MSSL estimate.MSSL2 estimate.MSSLEC estimate.MSTEC estimate.MSTN estimate.MSTT estimate.MT
Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes.FI.MCN FI.MN FI.MSCEC FI.MSCN FI.MSCN2 FI.MSL FI.MSN FI.MSNC FI.MSSL FI.MSSL2 FI.MSSLEC FI.MSTEC FI.MSTN FI.MSTT FI.MT
Square root of a matrixmatrix.sqrt
Multivariate backward based on the AIC or BIC criteriambackcrit
Multivariate Backward Based on Significancembacksign
Plot an object of the "skewMLRM" class produced with the function distMahal.plot.skewMLRM
Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classesrMCN rMN rMSCEC rMSCN rMSCN2 rMSL rMSN rMSNC rMSSL rMSSL2 rMSSLEC rMSTEC rMSTN rMSTT rMT
Computes the inverse of a matrixsolve2
Print a summary for a object estimate.xxxsummary.skewMLRM
Truncated gamma distributiondtgamma qtgamma
Calculate Variance-Covariance Matrix for a Fitted Model Objectvcov.skewMLRM
Vectorize a symmetric matrixvech
Reconstitute a symmetric matrix from a vector.xpnd