Imports: mvtnorm, multcomp, survival, survPresmooth, stats
Description: Performs (simultaneous) inferences for ratios of linear combinations of coefficients in the general linear model, linear mixed model, and for quantiles in a one-way layout. Multiple comparisons and simultaneous confidence interval estimations can be performed for ratios of treatment means in the normal one-way layout with homogeneous and heterogeneous treatment variances, according to Dilba et al. (2007) <https://cran.r-project.org/doc/Rnews/Rnews_2007-1.pdf> and Hasler and Hothorn (2008) <doi:10.1002/bimj.200710466>. Confidence interval estimations for ratios of linear combinations of linear model parameters like in (multiple) slope ratio and parallel line assays can be carried out. Moreover, it is possible to calculate the sample sizes required in comparisons with a control based on relative margins. For the simple two-sample problem, functions for a t-test for ratio-formatted hypotheses and the corresponding confidence interval are provided assuming homogeneous or heterogeneous group variances.
Packaged: 2020-06-19 07:19:01 UTC; Schaarschmidt

Title: Bayesian Summary Data Models for Mendelian Randomization Studies
email = "f.dondelinger@lancaster.ac.uk", role = c("aut"),
email = "tom.palmer@lancaster.ac.uk", role = c("aut"),
Description: Bayesian estimation of inverse variance weighted (IVW), Burgess
et al. (2013) <doi:10.1002/gepi.21758>, and MR-Egger, Bowden et
al. (2015) <doi:10.1093/ije/dyv080>, summary data models for Mendelian
Suggests: testthat, rjags (>= 4-9), tidyverse, knitr, ggplot2, ggmcmc,
foreign, DescTools, bayesmeta, utils, kableExtra, roxygen2,
Author: Okezie Uche-Ikonne [aut, cre] (<https://orcid.org/0000-0002-8461-8099>),

Packaged: 2021-04-01 14:49:00 UTC; okezieuche-ikonne

Packaged: 2021-07-13 09:53:18 UTC; okezieuche-ikonne

Packaged: 2021-09-21 07:14:44 UTC; okezieuche-ikonne

Packaged: 2021-10-02 12:16:01 UTC; okezieuche-ikonne

Title: Magnetic Resonance Binning, Integration and Normalization
Description: Nuclear Magnetic Resonance is widely used in Life Science
research. The package (<http://www.kleinomicslab.com/software>) converts 1D or 2D data into a matrix of values
suitable for further data analysis and performs basic processing steps in a
reproducible way. Negative values, a common issue in such data, are replaced
by positive values. All used parameters are stored in a readable text file
and can be restored from that file to enable exact reproduction of the data
Author: Matthias Klein [aut, cre] (<https://orcid.org/0000-0001-7455-5381>)