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VGAM Package. R News, 8, 28–39 Package ‘VGAM’ January 14, 2021 Version 1.1-5 Date 2021-01-13 Title Vector Generalized Linear and Additive Models Author Thomas Yee [aut, cre], Cleve Moler [ctb] (author of several LINPACK routines) Maintainer Thomas Yee <[email protected]> Depends R (>= 3.5.0), methods, stats, stats4, splines Suggests VGAMextra, MASS, mgcv Enhances VGAMdata Description An implementation of about 6 major classes of statistical regression models. The central algorithm is Fisher scoring and iterative reweighted least squares. At the heart of this package are the vector generalized linear and additive model (VGLM/VGAM) classes. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs that use smoothing. The book ``Vector Generalized Linear and Additive Models: With an Implementation in R'' (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of the statistical framework and the package. Currently only fixed-effects models are implemented. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE. The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Hauck-Donner effect detection is implemented. Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes. License GPL-3 URL https://www.stat.auckland.ac.nz/~yee/VGAM/ NeedsCompilation yes 1 2 R topics documented: BuildVignettes yes LazyLoad yes LazyData yes Repository CRAN Date/Publication 2021-01-14 06:20:05 UTC R topics documented: VGAM-package . 13 A1A2A3 . 16 AA.Aa.aa . 18 AB.Ab.aB.ab . 19 ABO............................................. 20 acat ............................................. 21 add1.vglm . 23 AICvlm . 24 alaplace . 26 alaplaceUC . 31 altered . 32 amlbinomial . 34 amlexponential . 36 amlnormal . 38 amlpoisson . 40 anova.vglm . 43 AR1............................................. 45 AR1EIM . 48 auuc............................................. 52 aux.posbernoulli.t . 53 backPain . 54 beggs ............................................ 55 bell ............................................. 56 Benford . 57 Benini . 58 benini1 . 60 Betabinom . 61 betabinomial . 65 betabinomialff . 67 betaff . 71 Betageom . 73 betageometric . 74 betaII . 76 Betanorm . 77 betaprime . 79 betaR . 80 Biamhcop . 82 biamhcop . 83 R topics documented: 3 Biclaytoncop . 85 biclaytoncop . 86 BICvlm . 88 Bifgmcop . 89 bifgmcop . 90 bifgmexp . 91 bifrankcop . 93 bigamma.mckay . 94 bigumbelIexp . 96 bilogis . 97 bilogistic . 99 Binom2.or . 100 binom2.or . 102 Binom2.rho . 105 binom2.rho . 107 binomialff . 110 Binorm . 112 binormal . 114 binormalcop . 116 Binormcop . 117 Biplackett . 119 biplackettcop . 120 biplot-methods . 122 Bisa............................................. 122 bisa ............................................. 123 Bistudentt . 125 bistudentt . 126 bmi.nz . 128 borel.tanner . 129 Bort............................................. 130 Brat ............................................. 131 brat ............................................. 133 bratt . 135 calibrate . 137 calibrate-methods . 138 calibrate.qrrvglm . 139 calibrate.qrrvglm.control . 142 calibrate.rrvglm . 144 calibrate.rrvglm.control . 146 cao.............................................. 147 cao.control . 151 Card............................................. 154 cardioid . 156 cauchitlink . 157 cauchy . 159 cdf.lmscreg . 161 cens.gumbel . 163 cens.normal . 165 4 R topics documented: cens.poisson . 166 cfibrosis . 169 cgo.............................................. 170 chest.nz . 171 chinese.nz . ..
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