Hierarchical Latent Space Network Model (HLSM)
Hierarchical latent space network model for fitting ensemble of networks.

R-package to implement Hierarchical Latent Space Network Model (HLSM) for ensemble of networks as described in Sweet et. al. (2012).<DOI:10.3102/1076998612458702>.

Implements Hierarchical Latent Space Network Model (HLSM) for ensemble of networks as described in Sweet et. al. (2012). <DOI:10.3102/1076998612458702>.

Implements Hierarchical Latent Space Network Model (HLSM) for ensemble of networks as described in Sweet, Thomas & Junker (2013). <DOI:10.3102/1076998612458702>.
MASS, coda, igraph, grDevices, graphics, methods, abind, stats

c(
person("Svetlana", "Saarela", role = c("cre", "aut"), email = "admin@svetlanasaarela.com"),
person("Sören", "Holm", role = "aut"),
person("Zhiqiang", "Yang", role = "aut", email='zhiqiangyang@fs.fed.us'),
person("Wilmer", "Prentius", role = "ctb")
)
For estimation of a variable of interest using two sources of auxiliary information available in a nested structure. For reference see Saarela et al. (2016)<doi:10.1007/s13595-016-0590-1> and Saarela et al. (2018) <doi:10.3390/rs10111832>.
RcppExports.R helper_functions.R HMB-class.R
SummaryHMB-class.R ghmb.R gtsmb.R hmb.R tsmb.R
Svetlana Saarela [cre, aut],
Sören Holm [aut],
Zhiqiang Yang [aut],
Wilmer Prentius [ctb]

Utilities for reading data from the Human Mortality Database (<www.mortality.org>), Human Fertility Database (<www.humanfertility.org>), and similar databases from the web or locally into an R session as data.frame objects. These are the two most widely used sources of demographic data to study basic demographic change, trends, and develop new demographic methods. Other supported databases at this time include the Human Fertility Collection (<http://www.fertilitydata.org/>), The Japanese Mortality Database (<http://www.ipss.go.jp/p-toukei/JMD>), and the Canadian Human Mortality Database (<http://www.bdlc.umontreal.ca/chmd/>). Arguments and data are standardized.
'age2int.R' 'HFDutils.R' 'HMDutils.R' 'readHFD.R' 'readHMD.R'
'userInput.R'