Hartigan's dip test statistic for unimodality

Debiased Inverse Propensity Score Weighting
Estimation of the average treatment effect when controlling for
high-dimensional confounders using debiased inverse propensity score
weighting (DIPW). DIPW relies on the propensity score following a sparse
logistic regression model, but the regression curves are not required to be
estimable. Despite this, our package also allows the users to estimate
the regression curves and take the estimated curves as input to our
methods. Details of the methodology can be found in Yuhao Wang and
Rajen D. Shah (2020) "Debiased Inverse Propensity Score Weighting for
Estimation of Average Treatment Effects with High-Dimensional Confounders"
<arXiv:2011.08661>. The package relies on the optimisation
software 'MOSEK' <https://www.mosek.com/> which must be installed separately;
see the documentation for 'Rmosek'.
c(
person("Yuhao", "Wang", email = "yuhaow.thu@gmail.com", role = c("cre", "aut")),
person("Rajen", "Shah", email = "r.shah@statslab.cam.ac.uk", role = "ctb"))

A package for pathway analysis in experiments with multiple perturbation designs.

Direction Analysis for Pathways and Kinases
Direction analysis is a set of tools designed to integrate multiple experimental treatments for analyzing pathways and kinases from microarray, RNA-seq, proteomics, or phosphoproteomics data.

Direction analysis is a set of tools designed to identify
combinatorial effects of multiple treatments and/or perturbations on pathways
and kinases profiled by microarray, RNA-seq, proteomics, or phosphoproteomics
data.

Direction analysis is a set of tools designed to identify
combinatorial effects of multiple treatments/conditions on pathways
and kinases profiled by microarray, RNA-seq, proteomics, or phosphoproteomics
data. See Yang P et al (2014) <doi:10.1093/bioinformatics/btt616>; and Yang P et al. (2016) <doi:10.1002/pmic.201600068>.
grDevices, graphics, stats, rgl, calibrate

grDevices, graphics, stats, plotly, calibrate

Direct labeling functions meant to be used with several
plotting packages, including lattice and ggplot2.
ks, MASS, inlinedocs, quadprog, ggplot2, lattice, alphahull,
ElemStatLearn
utility.function.R compare.R dotplot.R lineplot.R
densityplot.R ggplot2.R positioning.functions.R doc.R lattice.R
scatterplot.R contourplot.R