Collate: 'data.R' 'equation_base.R' 'system_base.R' 'model_logger.R'
Packaged: 2022-05-18 11:24:28 UTC; ntelispak

Packaged: 2022-06-02 21:06:03 UTC; ntelispak

Imports: dplyr (>= 0.7.6), Formula, MASS (>= 7.3-50), methods, rlang
(>= 0.2.1), Rcpp, RcppGSL, RcppParallel, stats
Packaged: 2022-07-05 20:26:44 UTC; ntelispak

Packaged: 2022-07-09 10:02:42 UTC; ntelispak

Packaged: 2022-09-08 16:39:14 UTC; ntelispak

Title: Automatic Marking of R Assignments
Author: Mans Magnusson, Oscar Pettersson
Description: Automatic marking of R assignments for students and teachers based
Depends: R (>= 3.1.0), methods, yaml, testthat (>= 0.11.0), httr

Depends: R (>= 3.1.0), methods, yaml, testthat (>= 0.11.0), httr (>=

Depends: R (>= 3.2.0), methods, yaml, testthat (>= 1.0.0), httr (>=

Depends: R (>= 3.2.0), methods, yaml, testthat (>= 2.0.0), httr (>=
Packaged: 2018-01-17 10:18:49 UTC; mansmagnusson

Imports: methods, yaml, testthat (>= 2.0.0), httr (>= 1.0.0), checkmate
Packaged: 2019-04-28 19:27:00 UTC; mansmagnusson

Packaged: 2020-09-12 13:00:43 UTC; mansmagnusson

Packaged: 2021-09-02 20:15:03 UTC; mansmagnusson

Title: Markov Chain Models for Phylogenetic Trees
Maintainer: Utkarsh J. Dang <udang@mcmaster.ca>
Description: Allows for fitting of maximum likelihood models using Markov chains on phylogenetic trees for analysis of discrete character data. Examples of such discrete character data include restriction sites, gene family presence/absence, intron presence/absence, and gene family size data. Hypothesis-driven user-specified substitution rate matrices can be estimated. Allows for biologically realistic models combining constrained substitution rate matrices, site rate variation, site partitioning, branch-specific rates, allowing for non-stationary prior root probabilities, correcting for sampling bias, etc.

Suggests: knitr (>= 1.10), testthat (>= 0.9.1)

Description: Allows for fitting of maximum likelihood models using Markov chains
on phylogenetic trees for analysis of discrete character data. Examples of such
discrete character data include restriction sites, gene family presence/absence,
intron presence/absence, and gene family size data. Hypothesis-driven user-
specified substitution rate matrices can be estimated. Allows for biologically
realistic models combining constrained substitution rate matrices, site rate
variation, site partitioning, branch-specific rates, allowing for non-stationary
prior root probabilities, correcting for sampling bias, etc.