Description: The package was developed to fit fit many growth curves
conclusive dose-response curve, for instance for a compound

X-CRAN-Comment: Orphaned on 2013-08-08 (and repaired by the CRAN team)

Title: Gromov-Hausdorff Type Distances for Labeled Metric Spaces
Description: Computing Gromov-Hausdorff type l^p distances for labeled metric spaces. These distances were introduced in V.Liebscher, Gromov meets Phylogenetics - new Animals for the Zoo of Metrics on Tree Space. preprint  arXiv:1504.05795,  for phylogenetic trees but may apply to much more situations.
Imports: methods,igraph, phangorn, glpkAPI , quadprog, cluster

Imports: methods,igraph, ape, glpkAPI , quadprog, cluster, stats

Description: Computes Gromov-Hausdorff type l^p distances for labeled metric spaces. These distances were introduced in V.Liebscher, Gromov meets Phylogenetics - new Animals for the Zoo of Metrics on Tree Space <arXiv:1504.05795>  for phylogenetic trees, but may apply to a diversity of scenarios.
Packaged: 2021-02-04 07:30:05 UTC; liebscher

Title: Reproducible Scripts via Version-Specific Package Loading
Description: Make R scripts that rely on packages reproducible by ensuring that
every time a given script is run, the same version of the used packages are
loaded (instead of whichever version the user running the script happens to
have installed). This is achieved by using the new command
groundhog.library() instead of the base command library(), and including a
date in the call. The date is used to call on the same version of the
package every time (the most recent version available on CRAN at that date).
Suggests: covr, testthat (>= 2.1.0), knitr, rmarkdown
Author: Uri Simonsohn [aut, cph] (<https://orcid.org/0000-0002-8601-7211>),

Description: Make R scripts that rely on packages reproducible, by ensuring that
Author: Uri Simonsohn [aut, cre] (<https://orcid.org/0000-0002-8601-7211>),

Title: The Simplest Solution to Version-Control for CRAN Packages

Title: Version-Control for CRAN, GitHub, and GitLab Packages
Description: Make R scripts reproducible, by ensuring that
have installed). This is achieved by using the command
package every time (the most recent version available at that date).
Load packages  from CRAN, GitHub, or Gitlab.