Description: Carries out Bland Altman analyses (also known as a Tukey
mean-difference plot) as described by JM Bland and DG Altman in
2015 as existing Bland-Altman analysis functions did not calculate
confidence intervals. This package was created to rectify this,
Authors@R: person("Deepankar", "Datta", email = "deepankardatta@nhs.net",

and create reproducible plots. It further provides the structures for
creating a Jamovi (<https://www.jamovi.org/>) module to allows use of
the package functions via an easy to use GUI system.
Imports: ggplot2, knitr, stringr, jmvcore (>= 0.5.5), R6, rmarkdown
Packaged: 2018-05-07 18:00:05 UTC; deepankardatta

and create reproducible plots. This package is also available as a module
for the 'jamovi' statistical spreadsheet (see <https://www.jamovi.org>
Imports: ggplot2, knitr, stringr, jmvcore (>= 0.8.5), R6, rmarkdown
Packaged: 2018-05-09 11:40:50 UTC; deepankardatta

Title: Bayesian Inference with Laplace Approximations and P-Splines
role=c("aut", "ths"), comment = "Co-author and thesis advisor"))
Description: Laplace approximations and penalized B-splines are combined
for fast Bayesian inference in latent Gaussian models. The routines can be
used to fit survival models, especially proportional hazards and promotion
time cure models (Gressani, O. and Lambert, P. (2018)
<doi:10.1016/j.csda.2018.02.007>). The Laplace-P-spline methodology can also
be implemented for inference in additive and generalized additive models
(Gressani, O. and Lambert, P. (2020) <arXiv:2003.07214>). See the associated
website for more information and examples.
Suggests: knitr (>= 1.26), rmarkdown (>= 1.14), testthat (>= 2.3.1)
Author: Oswaldo Gressani [aut, cre] (Author),
Philippe Lambert [aut, ths] (Co-author and thesis advisor)

be implemented for inference in (generalized) additive models
See the associated website for more information and examples.

Title: Native R Implementation of an Efficient BLAST-Like Algorithm
Description: Implementation of an efficient BLAST-like sequence
comparison algorithm, written in C++11 and using
native R datatypes. Blaster is based on 'nsearch' -
Author: Manu Tamminen [aut, cre] (<https://orcid.org/0000-0001-5891-7653>),