Fitting Linear Mixed-Effects Models using lme4

First Page		Document Content
Date: 2014-07-19 13:51:40 Data analysis Analysis of variance Covariance and correlation Mixed model Linear regression Matrix Multivariate normal distribution Covariance matrix Fixed effects model Statistics Regression analysis Estimation theory		Fitting Linear Mixed-Effects Models using lme4 Add to Reading List Source URL: cran.r-project.org Download Document from Source Website File Size: 483,43 KB Share Document on Facebook

	Linear Regression Kalman Filtering Based on Hyperspherical Deterministic Sampling Gerhard Kurz and Uwe D. Hanebeck Abstract— Nonlinear filtering based on Gaussian densities is commonly performed using so-called Linear DocID: 1vq9G - View Document
	Source and Channel Codes via Sparse Linear Regression Ramji Venkataramanan Sekhar Tatikonda DocID: 1v5oo - View Document
	Pattern Recognition And Machine Learning - EPFL - Fall 2015 Emtiyaz Khan, Timur Bagautdinov, Carlos Becker, Ilija Bogunovic & Ksenia Konyushkova 2. Linear Regression and Gradient Descent 2.1 DocID: 1v534 - View Document
	Flexible Covariate Adjustments in Randomized Experiments Christoph Rothe Abstract: Linear regression adjustments for pre-treatment covariates are widely used in economics to lower the variance of treatment effect estimat DocID: 1uYMC - View Document
	C ONTRIBUTED RESEARCH ARTICLE 232 liureg: A Comprehensive R Package for the Liu Estimation of Linear Regression DocID: 1uFMP - View Document