Description: Performs sensitivity analysis for publication bias in meta-analyses (per Mathur & VanderWeele, 2020 [<https://osf.io/s9dp6>]).

Title: Format Output of Various Routines in a Suitable Way for Reports
Description: A bunch of convenience functions that transform the results of some basic statistical analyses
into table format nearly ready for publication. This includes descriptive tables, tables of
logistic regression and Cox regression results as well as forest plots.
Authors@R: c(person("Thomas A.", "Gerds", role = c("aut", "cre"),
person("Christian", "Torp-Pedersen", role = "ctb"),
person("Klaus", "K Holst", role = "ctb"),
riskRegression (>= 1.4.3), testthat, smcfcs (>= 1.3.0), mitools

riskRegression (>= 1.4.3), testthat, smcfcs (>= 1.3.0), rms (>=

Suggests: riskRegression (>= 2020.09.07), testthat, smcfcs (>= 1.4.1),

Authors@R: c(person("Aki-Juhani", "Kyröläinen", role = c("aut", "cre"),
person("Vincent", "Porretta", role = "aut"),
person("Jacolien", "van Rij", role = "ctb"),
person("Juhani", "Järvikivi", role = "ctb"))
Author: Aki-Juhani Kyröläinen [aut, cre],
Description: Pupillometric data collected using SR Research Eyelink eye trackers
requires significant preprocessing. This package contains functions for
preparing pupil dilation data for visualization and statistical analysis.
Specifically, it provides a pipeline of functions which aid in data validation,
the removal of blinks/artifacts, downsampling, and baselining, among others.
Additionally, plotting functions for creating grand average and conditional
average plots are provided. See the vignette for samples of the functionality.
The package is designed for handling data collected with SR Research
Eyelink eye trackers using Sample Reports created in SR Research Data

Title: A Unified Pipeline for Pupillometry Data
c(person("Samuel", "Forbes", email = "samuel.h.forbes@gmail.com", role = c("aut", "cre")),
person("David", "Robinson", email = "admiral.david@gmail.com", role = "ctb"))
Description: Provides a unified pipeline to clean, prepare, plot,
and run basic analyses on pupillometry experiments.
Depends: R (>= 3.5.0), dplyr, ggplot2, rlang
Imports: data.table, fda, fractal, lazyeval, mgcv, signal, stats,
Packaged: 2020-01-23 18:55:16 UTC; administrator