
wwcode
 Referenced in 18 articles
[sw26044]
 estimates. For instance, estimation, tests of linear hypotheses, residual analyses, and diagnostics to detect differences ... weighting schemes are discussed. We analyze a regression model, designed experiment, and autoregressive time series ... freely available and runs on multiple platforms, WWestimation and associated inference is now universally...

OLP
 Referenced in 1 article
[sw27618]
 performance with that of linear discriminant analysis and multiple logistic regression, adapted to dividing linearly...

Bascula
 Referenced in 2 articles
[sw18865]
 choice between linear weighting (based on the general regression estimator) and multiplicative weighting (based...

TEEReg
 Referenced in 0 articles
[sw15460]
 Estimation for Linear Models. For fitting multiple linear regressions, the ordinary least squares approach...

Evolino
 Referenced in 17 articles
[sw36450]
 such as linear regression or quadratic programming to compute optimal linear mappings from hidden state ... problem domains: 1) contextsensitive languages, 2) multiple superimposed sine waves, and 3) the Mackey...

BLNN
 Referenced in 1 article
[sw32579]
 developing statistical models such as multiple linear and logistic regression, classification, and survival analysis...

multtest
 Referenced in 22 articles
[sw08262]
 parametric bootstrap and permutation resamplingbased multiple testing procedures (including empirical Bayes methods) for controlling ... including tstatistics based on regression parameters from linear and survival models as well...

PROC GLM
 Referenced in 8 articles
[sw12073]
 analyzes data within the framework of general linear models. PROC GLM handles models relating ... different analyses, including the following: simple regression; multiple regression...

ARock
 Referenced in 24 articles
[sw16800]
 propose ARock, an algorithmic framework in which multiple agents (machines, processors, or cores) update ... Linear convergence is obtained under suitable assumptions. We propose special cases of ARock for linear ... consensus problems. Numerical experiments solving sparse logistic regression problems are presented...

MATNEM
 Referenced in 0 articles
[sw05713]
 frequentist model averaging algorithms (linear regression model, multiplicative error models (GARCH...

ReGenesees
 Referenced in 1 article
[sw18868]
 nonlinear smooth estimators by Taylorseries linearization. Estimates, standard errors, confidence intervals and design effects ... Ratios of Shares, Multiple Regression Coefficients and Quantiles. Automated Linearization of Complex Analytic Estimators. Design...

heplots
 Referenced in 5 articles
[sw06767]
 Linear hypotheses are considered for linear regression models with multivariate response. Hypotheseserror ... MANOVA, multivariate multiple regression and multivariate analysis of covariance (MANCOVA...

lrgs
 Referenced in 0 articles
[sw16144]
 Gibbs sampler to do linear regression with multiple covariates, multiple responses, Gaussian measurement errors...

PIRLS
 Referenced in 1 article
[sw26379]
 Additive, Multiplicative, Power, and Nonlinear Models. A computer program to estimate Poisson regression coefficients ... deletion residuals for additive, multiplicative, power, and nonlinear models is described. Data used ... goodness of fit statistics, and residuals for regression diagnostics...

CViz
 Referenced in 3 articles
[sw00178]
 multiple regression analysis and other statistical methods, primarily because it is based on linear discriminant...

OzDASL
 Referenced in 1 article
[sw33296]
 used for simple linear regression as well as for multiple regression, and almost any variable...

NormalBetaPrime
 Referenced in 1 article
[sw29789]
 Prior. Implements Bayesian linear regression, variable selection, normal means estimation, and multiple hypothesis testing using...

quantregGrowth
 Referenced in 1 article
[sw32615]
 crossing regression quantiles as a function of linear covariates and multiple smooth terms...

joineRML
 Referenced in 4 articles
[sw19419]
 proportional hazards regression model with timevarying covariates. The multiple longitudinal outcomes are modelled using ... multivariate version of the Laird and Ware linear mixed model. The association is captured...

SNPStats
 Referenced in 3 articles
[sw20043]
 association is based on linear or logistic regression according to the response variable (quantitative ... disease status, respectively). Analysis of single SNPs: multiple inheritance models (codominant, dominant, recessive, over...