Identifying Causal Effects with the R Package causaleffect Santtu Tikka Juha Karvanen

First Page		Document Content
Date: 2016-02-23 03:40:29 Causal inference Regression analysis Graphical models Theoretical physics Multivariate statistics Causality Instrumental variable Confounding Causal model Causal structure Matching Topological sorting		Identifying Causal Effects with the R Package causaleffect Santtu Tikka Juha Karvanen Add to Reading List Source URL: cran.r-project.org Download Document from Source Website File Size: 516,79 KB Share Document on Facebook

	15 Mathematical Tools for Multivariate Character Analysis This chapter introduces a variety of tools from matrix algebra and multivariate statistics useful in the analysis of selection on multiple characters. Our primary DocID: 1u8YK - View Document
	Software package for Multivariate Analysis and Multivariate Time Series Analysis Version 2.0+ Brodgar was developed by: Highland Statistics Ltd. DocID: 1tX3L - View Document
	Semidefinite Optimization with Applications in Sparse Multivariate Statistics Alexandre d’Aspremont ORFE, Princeton University Joint work with L. El Ghaoui, M. Jordan, V. Krishnamurthy, G. Lanckriet, DocID: 1tFCF - View Document
	R: statistics for all of us R: an international statistical collaboratory Prepared for part of the symposium on Multivariate Statistical Methods in Individual Differences Research International Society for the Study of I DocID: 1tmk6 - View Document