Description: Function for drawing the coastline of the United Kingdom

Description: Function for drawing the coastline of the British Isles

Packaged: Wed May 30 13:41:29 2007; hornik

Packaged: Mon Jan 26 15:58:49 2009; lucy

Title: Bipartite Longitudinal Influence Network (BLIN) Estimation
Authors@R: c(person("Frank W. Marrs", email="frank.marrs@colostate.edu", role=c("aut", "cre")), person("Benjamin W. Campbell", role=c("aut")), person("Bailey K. Fosdick", role=c("aut")), person("Skyler J. Cranmer", role=c("aut")), person("Tobias B{\"o}hmelt", role=c("aut")))
Description: Estimate influence networks from longitudinal bipartite relational data, where the longitudinal relations are continuous. The outputs are estimates of weighted influence networks among each actor type in the data set. The generative model is the Bipartite Longitudinal Influence Network (BLIN) model, a linear autoregressive model for these type of data. The supporting paper is ``Inferring Influence Networks from Longitudinal Bipartite Relational Data'', which is in preparation by the same authors. The model may be estimated using maximum likelihood methods and Bayesian methods. For more detail on methods, see Marrs et. al. <arXiv:1809.03439>.
Imports: glmnet, stats, Matrix, MASS, abind, graphics, mvtnorm
Maintainer: Frank W. Marrs <frank.marrs@colostate.edu>

Title: Blinded Sample Size Recalculation
person(given = "Institute of Medical Biometry and Informatics - University of Heidelberg",
Description: Computation of key characteristics and plots for blinded sample size recalculation.
Continuous as well as binary endpoints are supported in superiority and non-inferiority trials.
The implemented methods include the approaches by
Friede, T., Mitchell, C., Mueller-Veltern, G. (2007) <doi:10.1002/bimj.200610373>, and
Collate: test_statistics.R methods.R Student.R blindrecalc.R
Institute of Medical Biometry and Informatics - University of

Packaged: 2021-07-06 12:16:48 UTC; maximilian
Author: Lukas Baumann [aut, cre] (<https://orcid.org/0000-0001-7931-7470>),