Description: R codes for distance based cell lineage reconstruction. Our methods won both sub-challenges 2 and 3 of the Allen Institute Cell Lineage Reconstruction DREAM Challenge in 2020. The challenge paper is Gong et al. (2021) <doi:10.1016/j.cels.2021.05.008>.

Description: Data Converter Module (DCM) converts the dataset format from split into stack and to the reverse.
Packaged: 2016-12-04 12:44:04 UTC; sofiahuerta

Packaged: 2016-12-06 05:35:51 UTC; sofiahuerta

Title: List Linear n-Peptide Constraints for Overlapping Protein
Description: Traversal graph algorithm for listing linear n-peptide constraints for overlapping protein regions. (Lebre and Gascuel, The combinatorics of overlapping genes, freely available from arXiv at : http://arxiv.org/abs/1602.04971).

Title: Dynamic Comparative Public Opinion
Description: Estimates latent variables of public opinion cross-nationally and over time from sparse and incomparable survey data.  'DCPO' uses a population-level graded response model with country-specific item bias terms. Sampling is conducted with 'Stan'.  References: Solt (2020) <doi:10.31235/osf.io/d5n9p>.
person("Frederick", "Solt", email = "frederick-solt@uiowa.edu", role = c("aut", "cre")),
person("Trustees of", "Columbia University", role = "cph"))
Imports: rstan (>= 2.18.1), rstantools (>= 2.0.0), beepr, dplyr,
LinkingTo: StanHeaders (>= 2.18.0), rstan (>= 2.18.1), BH (>=

Title: Nonparametric Regression and Bandwidth Selection for Spatial
email = "bastian.schaefer@uni-paderborn.de", role = c("aut", "cre")),
person("Sebastian", "Letmathe", role = "ctb"), person("Yuanhua", "Feng",
Description: Nonparametric smoothing techniques for
data on a lattice and functional time series. Smoothing is done via
kernel regression or local polynomial regression, a bandwidth selection
procedure based on an iterative plug-in algorithm is implemented. This
package allows for modeling a dependency structure of the error terms
Methods used in this paper are described in
Packaged: 2021-08-10 09:26:26 UTC; Bastian Schäfer