nlsmsn: Fitting Nonlinear Models with Scale Mixture of Skew-Normal Distributions

Fit univariate non-linear scale mixture of skew-normal(NL-SMSN) regression, details in Garay, Lachos and Abanto-Valle (2011) <doi:10.1016/j.jkss.2010.08.003> and Lachos, Bandyopadhyay and Garay (2011) <doi:10.1016/j.spl.2011.03.019>.

Version: 0.0-6
Depends: R (≥ 2.10.0)
Published: 2021-01-20
Author: Marcos Prates [aut, cre, trl], Victor Lachos [aut], Aldo Garay [aut]
Maintainer: Marcos Prates <marcosop at est.ufmg.br>
License: GPL (≥ 3.0)
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: nlsmsn results

Documentation:

Reference manual: nlsmsn.pdf

Downloads:

Package source: nlsmsn_0.0-6.tar.gz
Windows binaries: r-devel: nlsmsn_0.0-6.zip, r-release: nlsmsn_0.0-6.zip, r-oldrel: nlsmsn_0.0-6.zip
macOS binaries: r-release (arm64): nlsmsn_0.0-6.tgz, r-oldrel (arm64): nlsmsn_0.0-6.tgz, r-release (x86_64): nlsmsn_0.0-6.tgz
Old sources: nlsmsn archive

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