• 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 interval-censored 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 large-scale regularized linear classification and regression. It currently supports...
  • Rmind

  • Referenced in 2 articles [sw21135]
  • including simple statistics, t-test, chi-squared test, Wilcoxon tests and linear regression. We give...
  • nlr

  • Referenced in 9 articles [sw05244]
  • quasi-likelihood 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 linear-in-parameter 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 Student-t errors. A simple EM-type...
  • 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 Horvitz-Thompson estimator and/or the generalized regression (GREG) estimator ... used for simple totals. CLAN can handle all parameters that can be writ...
  • ADE-4

  • 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...