Title: Multiple Systems Estimation for Sparse Capture Data
person("Lax", "Chan", email = "lax.chan1@nottingham.ac.uk", role = c("aut","cre")),
person("Bernard", "Silverman", email = "mail@bernardsilverman.co.uk", role = c("aut")),
person("Kyle", "Vincent", email = "kyle.shane.vincent@gmail.com", role= c("aut")))
Description: Implements the routines and algorithms developed and analysed in "Multiple systems estimation for Sparse Capture Data: Inferential Challenges when there are Non-Overlapping Lists" Chan, L, Silverman, B. W., Vincent, K (2019) <arXiv:1902.05156>. This package explicitly handles situations where there are pairs of lists which have no observed individuals in common.

Title: 'Multiple Systems Estimation for Sparse Capture Data'
person("Lax", "Chan", email = "laxchan77@gmail.com", role = c("aut","cre")),
Description: Implements the routines and algorithms developed and analysed in "Multiple Systems Estimation for Sparse Capture Data: Inferential Challenges when there are Non-Overlapping Lists" Chan, L, Silverman, B. W., Vincent, K (2019) <arXiv:1902.05156>. This package explicitly handles situations where there are pairs of lists which have no observed individuals in common.  It deals correctly with parameters whose estimated values can be considered as being negative infinity.  It also addresses other possible issues of non-existence and non-identifiability of maximum likelihood estimates.

Title: Sparse time series chain graphical models
Depends: R (>= 3.0.0), glasso, longitudinal, flare, mvtnorm, network
Description: Compute and plot sparse autoregressive coefficient and
precision matrices for time series chain graphical models.

Imports: glasso, longitudinal, flare, MASS, mvtnorm, network, abind
Description: Computes sparse vector autoregressive coefficients and precision
matrices for time series chain graphical models.

Title: Sparse Time Series Chain Graphical Models
Imports: glasso, longitudinal, flare, MASS, mvtnorm, network, abind,

Imports: glasso, QUIC, longitudinal, flare, MASS, mvtnorm, network,