Description: Implements a method for fitting a bounded probability
distribution to quantiles (for example stated by an expert),
see Bornkamp and Ickstadt (2009) for details.  For this
purpose B-splines are used, and the density is obtained by
penalized least squares based on a Brier entropy penalty.  The
package provides methods for fitting the distribution as well
as methods for evaluating the underlying density and cdf. In
addition methods for plotting the distribution, drawing random
numbers and calculating quantiles of the obtained distribution

Title: A Structural Equation Embedded Likelihood Framework for Causal
Description: Provides the SELF criteria to learn causal structure. Details of the algorithm can be found in "SELF: A Structural Equation Embedded Likelihood Framework for Causal Discovery" (AAAI 2018).
CompareCausalNetworks (>= 0.1.0), bnlearn (>= 4.1.1)

Description: Provides the SELF criteria to learn causal structure. Please cite "Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao. SELF: Structural Equational Embedded Likelihood Framework for Causal Discovery. AAAI. 2018."

Title: Identifiability of linear structural equation models
Author: Rina Foygel <rina@uchicago.edu>, Mathias Drton <md5@uw.edu>.
Description: This package provides routines to check identifiability or
non-identifiability of linear structural equation models as
described in Drton, Foygel & Sullivant (Ann. Statist., 2011)
and Foygel, Draisma & Drton (Ann. Statist., 2012).  The
routines are based on the graphical representation of
structural equation models by a path diagram/mixed graph.

Description: This package provides routines to check identifiability or non-identifiability of linear structural equation models as described in Drton, Foygel & Sullivant (Ann. Statist., 2011) and Foygel, Draisma & Drton (Ann. Statist., 2012).  The routines are based on the graphical representation of structural equation models by a path diagram/mixed graph.

Title: Identifiability of Linear Structural Equation Models
Author: Rina Foygel Barber <rina@uchicago.edu>, Mathias Drton <md5@uw.edu>, Luca
Description: Provides routines to check identifiability or non-identifiability
of linear structural equation models as described in Drton, Foygel &
Sullivant (Ann. Statist., 2011) and Foygel, Draisma & Drton (Ann. Statist.,
2012). The routines are based on the graphical representation of
Packaged: 2015-12-18 04:48:59 UTC; lucaweihs