General Linear Models Glm
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glm — Generalized linear models - Stata
www.stata.com6glm— Generalized linear models General use glm fits generalized linear models of ywith covariates x: g E(y) = x , y˘F g() is called the link function, and F is the distributional family. Substituting various definitions for g() and F results in a surprising array of models. For instance, if yis distributed as Gaussian
Introduction to latent variable models - UPF
www.econ.upf.eduGeneralized linear mixed models (random-e ects models): extension of the class of Generalized linear models (GLM) for continuous or categorical responses which account for unobserved heterogeneity, beyond the e ect of observable covariates { Typeset by FoilTEX { 5
R and Data Mining: Examples and Case Studies
www.webpages.uidaho.eduGLM Generalized linear model IQR Interquartile range, i.e., the range between the rst and third quartiles LOF Local outlier factor PAM Partitioning around medoids PCA Principal component analysis STL Seasonal-trend decomposition based on Loess TF-IDF Term frequency-inverse document frequency vii
mediation: R Package for Causal Mediation Analysis
imai.fas.harvard.eduLinear (lm/lmer) X X X X X X X GLM (glm/bayesglm/ X X X X X X X glmer) Ordered (polr/bayespolr) X X X X X X X Censored (tobit via vglm) { { { { { { {Quantile (rq) X X X X X X X GAM (gam) X X X X X X X Survival (survreg) X X X X X X X Table 1: Types of statistical models that can be used with the mediate function. Aster-