-
Notifications
You must be signed in to change notification settings - Fork 0
/
DESCRIPTION
44 lines (44 loc) · 1.02 KB
/
DESCRIPTION
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
Package: multibergm
Type: Package
Title: Bayesian Exponential Random Graph Models for Multiple Networks
Version: 0.2.0
Authors@R:
person(given = "Brieuc",
family = "Lehmann",
role = c("aut", "cre"),
email = "[email protected]")
Description: Fit populations of networks using Bayesian exponential
random graph models. This package provides MCMC algorithms
to fit multiple networks in a Bayesian hierarchical model, as well
as additional functionality to analyse the resulting posterior
distribution.
Depends: R (>= 3.1.0), ergm (<= 3.11.0)
Imports:
dplyr,
mvtnorm,
MCMCpack,
abind,
parallel,
foreach,
doParallel,
rngtools,
reshape2,
plyr,
tidyr,
statnet.common,
mcmcr,
ggplot2,
coda,
cowplot,
network,
matrixNormal
License: GPL-3
LazyData: true
RoxygenNote: 7.1.2
Encoding: UTF-8
Suggests:
knitr,
rmarkdown,
vdiffr,
testthat (>= 2.1.0)
VignetteBuilder: knitr