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Runs a linear-like regression with in which both the expected value and the variance can vary per observation. The expected values mu follows the standard linear model mu = X_mu * beta_mu. The standard deviation sigma follows the model log(sigma) = X_sigma * beta_sigma. The package comes with two vignettes: 'Intro' gives an introduction, 'Math' gives mathematical details.

copied from cf-staging / r-lmvar
Type Size Name Uploaded Downloads Labels
conda 498.7 kB | noarch/r-lmvar-1.5.2-r43hc72bb7e_3.conda  8 months and 18 days ago 659 main
conda 507.4 kB | noarch/r-lmvar-1.5.2-r44hc72bb7e_3.conda  8 months and 18 days ago 648 main
conda 498.9 kB | noarch/r-lmvar-1.5.2-r43hc72bb7e_2.conda  1 year and 9 months ago 1112 main
conda 498.9 kB | noarch/r-lmvar-1.5.2-r42hc72bb7e_2.conda  1 year and 9 months ago 1154 main
conda 516.5 kB | noarch/r-lmvar-1.5.2-r42hc72bb7e_1.tar.bz2  2 years and 5 months ago 1465 main
conda 516.3 kB | noarch/r-lmvar-1.5.2-r41hc72bb7e_1.tar.bz2  2 years and 5 months ago 1513 main
conda 515.4 kB | noarch/r-lmvar-1.5.2-r40hc72bb7e_0.tar.bz2  2 years and 11 months ago 3215 main
conda 515.8 kB | noarch/r-lmvar-1.5.2-r41hc72bb7e_0.tar.bz2  2 years and 11 months ago 2021 main

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