
SAS/STAT
 Referenced in 418 articles
[sw18788]
 analyses, including analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis ... examples include mixed models, generalized linear models, correspondence analysis, and structural equations...

PRELIS
 Referenced in 37 articles
[sw09526]
 matching; Multiple imputation; Multiple linear regression; Logistic regression; Univariate and multivariate censored regression...

MNM
 Referenced in 43 articles
[sw06075]
 Spatial Signs and Ranks , The package provides multivariate tests, estimates and methods based ... sample problems, shape estimation and testing, linear regression and principal components...

camel
 Referenced in 9 articles
[sw14318]
 Selector for estimating sparse linear models; (2) Calibrated Multivariate Regression for estimating sparse multivariate linear...

envlp
 Referenced in 3 articles
[sw21887]
 envelope estimators under the framework of multivariate linear regression, including the envelope model, partial envelope ... implements the envelope model for estimating a multivariate mean. The capabilities of this toolbox include ... model parameters, as well as performing standard multivariate inference in the context of envelope models ... models, the standard errors for contrasts or linear combinations of coefficients, and more. Examples...

heplots
 Referenced in 5 articles
[sw06767]
 multivariate linear models: the heplots package for R Linear hypotheses are considered for linear regression...

gcmr
 Referenced in 27 articles
[sw07433]
 provides a natural extension of traditional linear regression models with normal correlated errors. Any kind ... Dependence is conveniently modelled in terms of multivariate normal errors. Inference is performed through...

party
 Referenced in 27 articles
[sw07330]
 kinds of regression problems, including nominal, ordinal, numeric, censored as well as multivariate response variables ... parametric models (e.g. linear models, GLMs or survival regression) employing parameter instability tests for split...

GeoDa
 Referenced in 16 articles
[sw08282]
 multivariate exploratory data analysis, and global and local spatial autocorrelation. It also performs basic linear ... regression. As for spatial models, both the spatial lag model and the spatial error model...

groc
 Referenced in 1 article
[sw24173]
 Orthogonal Components. Robust multiple or multivariate linear regression, nonparametric regression on orthogonal components, classical...

MBSP
 Referenced in 1 article
[sw25620]
 Shrinkage Priors. Implements a sparse Bayesian multivariate linear regression model using shrinkage priors from...

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

mvinfluence
 Referenced in 1 article
[sw33556]
 Measures and Diagnostic Plots for Multivariate Linear Models. Computes regression deletion diagnostics for multivariate linear...

heavy
 Referenced in 4 articles
[sw13216]
 package includes linear regression, linear mixedeffect models, multivariate location and scatter estimation, penalized splines...

SCGLR
 Referenced in 4 articles
[sw12061]
 Partial Least Squares regression with Generalized Linear Model estimation in the multivariate context...

multtest
 Referenced in 22 articles
[sw08262]
 including tstatistics based on regression parameters from linear and survival models as well ... potentially faster null distribution which is multivariate normal with mean zero and variance covariance matrix...

dlm
 Referenced in 28 articles
[sw04503]
 time series analysis, both for univariate and multivariate data. The main methods and models ... basic elements of Bayesian analysis for linear regression models are reminded, and Markov chain Monte ... dynamic linear models. State space models, dynamic linear models, state estimation and forecasting, filtering ... dynamic linear models for time series analysis are investigated, both univariate and multivariate. Chapter...

EigenPrism
 Referenced in 10 articles
[sw21947]
 signal in high dimensional linear regression. We derive a novel procedure for this, which ... asymptotically correct when the covariates are multivariate Gaussian and produces valid confidence intervals in finite...

RKHS
 Referenced in 5 articles
[sw03078]
 data analysis Linear combinations of random variables play a crucial role in multivariate analysis ... multivariate concept of canonical correlation. A solution to the regression problem of best linear unbiased...

ARESLab
 Referenced in 5 articles
[sw11786]
 building piecewiselinear and piecewisecubic regression models using Jerome Friedman’s Multivariate Adaptive Regression...