Package: DeLorean
Title: Estimates Pseudotimes for Single Cell Expression Data
Author: John Reid <johnbaronreid@gmail.com>
Maintainer: John Reid <johnbaronreid@gmail.com>
Version: 1.5.0
Description: Implements the DeLorean model (Reid & Wernisch (2016)
    <doi:10.1093/bioinformatics/btw372>) to estimate pseudotimes for
    single cell expression data. The DeLorean model uses a Gaussian process
    latent variable model to model uncertainty in the capture time of
    cross-sectional data.
Depends: methods, R (>= 3.4.0), Rcpp (>= 0.12.19)
Imports: rstan (>= 2.18.1), rstantools (>= 1.5.1), dplyr (>= 0.4.3),
        reshape2 (>= 1.4), stringr (>= 0.6.2), ggplot2 (>= 1.0.0), MASS
        (>= 7.3), broom, coda, parallel, functional, kernlab, fastICA,
        seriation, lattice, memoise
LinkingTo: BH (>= 1.66.0-1), Rcpp (>= 0.12.19), RcppEigen (>=
        0.3.3.4.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
Suggests: knitr (>= 1.8), knitcitations, rmarkdown, formatR, extrafont,
        testthat, svglite, VGAM
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
RoxygenNote: 6.1.0
License: MIT + file LICENSE
VignetteBuilder: knitr
Packaged: 2018-10-17 19:51:22 UTC; john
Repository: CRAN
Date/Publication: 2018-10-17 22:30:16 UTC
Built: R 3.6.0; x86_64-apple-darwin15.6.0; 2019-04-27 05:22:13 UTC; unix
Archs: DeLorean.so.dSYM
