Title: Adaptive Gauss Hermite Quadrature for Bayesian Inference
Description: Adaptive Gauss Hermite Quadrature for Bayesian inference.
The AGHQ method for normalizing posterior distributions
and making Bayesian inferences based on them. Functions are provided for doing
quadrature and marginal Laplace approximations, and summary methods are provided
for making inferences based on the results.
See Stringer (2021). "Implementing Adaptive Quadrature for Bayesian Inference:
Imports: methods, mvQuad, matrixStats, Matrix, stringr, magrittr,
dplyr, tidyr, tidyselect, rlang, polynom, tibble, purrr
Suggests: trustOptim, trust, numDeriv, testthat (>= 2.1.0), knitr,
Packaged: 2021-01-14 14:59:42 UTC; alexstringer

Imports: methods, mvQuad, Matrix, rlang, polynom
Packaged: 2021-05-10 21:24:47 UTC; alexstringer

Packaged: 2021-05-13 14:34:50 UTC; alexstringer

Imports: methods, mvQuad, Matrix, rlang, polynom, splines, numDeriv
Suggests: trustOptim, trust, testthat (>= 2.1.0), parallel
Packaged: 2021-11-04 23:12:43 UTC; alexstringer

Packaged: 2021-11-07 12:54:23 UTC; alexstringer

Packaged: 2022-03-05 16:10:52 UTC; alexstringer

Package: agilp
Type: Package
Title: Extracting and preprocessing Agilent express arrays
Version: 1.0
Date: 2010-03-12
Author: Benny Chain <b.chain@ucl.ac.uk>
Maintainer: Benny Chain <b.chain@ucl.ac.uk>
Description: The current version contains a single function, AAProcess.
AAProcess extracts the raw median signals from green and red
channels of Agilent scanner array files. It replaces values for
replicate probes by the mean of all replicates, and
(optionally) removes control probes It log2 transforms data ,
and outputs txt files containing the red and green channel data
separately. It then normalises each set of data against a
baseline file (typically median or mean of a large set of
arrays, using LOESS regression. Finally outputs the normalised
data. The normalisation step can be optionally omitted.
License: GPL (>= 2)
LazyLoad: no
Packaged: Sun Mar 14 18:40:33 2010; Benny Chain
Repository: CRAN
Date/Publication: 2010-03-15 07:59:33