Description: Principal component of explained variance (PCEV) is a statistical
tool for the analysis of a multivariate response vector. It is a dimension-
reduction technique, similar to Principal component analysis (PCA), that seeks
to maximize the proportion of variance (in the response vector) being explained

Title: Preconditioned Conjugate Algorithm for solving Ax=b
Description: The package solves linear system of equations Ax=b by using Preconditioned Conjugate Algorithm where A is real symmetric positive definite matrix. A suitable preconditioner matrix may be provided by user. This can also be used to minimize quadratic function (x'Ax)/2-bx for unknown x.

Title: Preconditioned Conjugate Gradient Algorithm for solving Ax=b
Description: The package solves linear system of equations Ax=b by using Preconditioned Conjugate Gradient Algorithm where A is real symmetric positive definite matrix. A suitable preconditioner matrix may be provided by user. This can also be used to minimize quadratic function (x'Ax)/2-bx for unknown x.

Title: Reconstruction of Causal Networks for Data with Random Genetic
Author: Willem Kruijer, Pariya Behrouzi, Maria Xose Rodriguez-Alvarez
Imports: pcalg, graph, Matrix, stats, MASS, utils, Hmisc, methods,
Description: Implements the pcgen algorithm, which is a modified version of the standard pc-algorithm,
with specific conditional independence tests and modified orientation rules.

with specific conditional independence tests and modified orientation rules. pcgen extends
the approach of Valente et al. (2010) <doi:10.1534/genetics.109.112979> with reconstruction of

Title: Piecewise Constant Hazards Models for Censored and Truncated
Description: Using piecewise constant hazards models is a very flexible approach
for the analysis of survival data. The time line is divided into sub-intervals;
for each interval, a different hazard is estimated using Poisson regression.

Packaged: 2020-02-26 17:19:16 UTC; Paolo Frumento

Title: Piecewise Constant Hazard Models for Censored and Truncated Data
Description: Piecewise constant hazard models for survival data.
The package allows for right-censored, left-truncated, and interval-censored data.
Packaged: 2021-01-29 11:37:09 UTC; Paolo Frumento