
ARC
 Referenced in 38 articles
[sw26078]
 readers who want to learn applied regression without loading heavy mathematical burden. For such ... exploratory tools it starts with simple linear regression, then deals with multiple regression and goes...

SemiPar
 Referenced in 705 articles
[sw07116]
 viewed as a relatively simple extension of parametric regression and treat the two together. They ... semiparametric regression. The approach to semiparametric regression is based on penalized regression splines and mixed ... book is a special case of the linear mixed model or its generalized counterpart. This...

linLIR
 Referenced in 4 articles
[sw11393]
 implementation of LIR: the case of simple linear regression with interval data. This paper considers ... problem of simple linear regression with intervalcensored data. That is, n pairs of intervals...

AS 132
 Referenced in 5 articles
[sw14184]
 Least Absolute Value Estimates for a Simple Linear Regression Problem...

DPpackage
 Referenced in 66 articles
[sw10495]
 This paper provides an introduction to a simple, yet comprehensive, set of programs ... binary regression data, item response data, longitudinal and clustered data using generalized linear mixed models...

BayesFactor
 Referenced in 17 articles
[sw11010]
 functions for computing various Bayes factors for simple designs, including contingency tables ... designs, general ANOVA designs, and linear regression...

lmodel2
 Referenced in 1 article
[sw24793]
 Model II Regression. Computes model II simple linear regression using ordinary least squares (OLS), major...

chemCal
 Referenced in 12 articles
[sw11069]
 analytical chemistry. chemCal provides simple functions for plotting linear calibration functions and estimating standard errors ... model objects from  optionally weighted  linear regression (lm) or robust linear regression (rlm from...

OzDASL
 Referenced in 1 article
[sw33296]
 variables can often be used for simple linear regression as well as for multiple regression...

WinBUGSio
 Referenced in 1 article
[sw25732]
 this paper and illustrated using a simple linear regression model...

ast2vec
 Referenced in 1 article
[sw37735]
 evaluate the predictive capability of a simple linear regression on top of ast2vec, obtaining similar...

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

LiblineaR
 Referenced in 4 articles
[sw25718]
 simple library for solving largescale regularized linear classification and regression. It currently supports...

Rmind
 Referenced in 2 articles
[sw21135]
 including simple statistics, ttest, chisquared test, Wilcoxon tests and linear regression. We give...

nlr
 Referenced in 9 articles
[sw05244]
 quasilikelihood estimation parameters in nonlinear regression models We present Fortran 77 subroutines that solve ... test examples include members of the generalized linear model family, extensions using nonlinear predictors (“nonlinear ... GLIM”), and probabilistic choice models, such as linearinparameter multinomial probit models. The basic ... that handle simple bounds on the parameters, and that compute approximate regression diagnostics...

sjPlot
 Referenced in 3 articles
[sw16141]
 package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects ... scatter plots, Likert scales, effects plots of regression models (including interaction terms) and much more...

CensRegMod
 Referenced in 1 article
[sw21092]
 censored linear regression model with normal errors to Studentt errors. A simple EMtype...

CLAN
 Referenced in 1 article
[sw32827]
 domain) totals can be handled. For example simple ratios, ratios between ratios, differences between different ... Taylor linearization approach. The HorvitzThompson estimator and/or the generalized regression (GREG) estimator ... used for simple totals. CLAN can handle all parameters that can be writ...

ADE4
 Referenced in 8 articles
[sw14077]
 linear regression methods including lowess and polynomial regression, multiple and PLS (partial least squares) regression ... orthogonal regression (principal component regression), projection methods like principal component analysis on instrumental variables, canonical ... factor maps. The user interface is simple and homogeneous among all the programs; this contributes...

condivreg
 Referenced in 3 articles
[sw37512]
 weak. We consider inference in the linear regression model with one endogenous variable and potentially ... instruments are weak. We propose a numerically simple algorithm for finding these confidence sets...