auxfuns: Internal functions and generics for 'mmsbm' package

In NetMix: Dynamic Mixed-Membership Network Regression Model

Internal functions and generics for mmsbm package

Description

These are various utilities and generic methods used by the main package function.

Usage

approxB(y, d_id, pi_mat, directed = TRUE)

getZ(pi_mat)

alphaLBound(par, tot_nodes, c_t, x_t, s_mat, t_id, var_beta, mu_beta)

alphaGrad(par, tot_nodes, c_t, x_t, s_mat, t_id, var_beta, mu_beta)

.cbind.fill(...)

.scaleVars(x, keep_const = TRUE)

.transf_muvar(orig, is_var, is_array, des.mat, nblock = NULL, nstate = NULL)

.bar.legend(colPalette, range)

.mpower(mat, p)

.findPerm(block_list, target_mat = NULL, use_perms = TRUE)

.transf(mat)

.compute.alpha(X, beta)

.vcovBeta(
  all_phi,
  beta_coef,
  n.sim,
  n.blk,
  n.hmm,
  n.nodes,
  n.periods,
  mu.beta,
  var.beta,
  est_kappa,
  t_id_n,
  X
)

.e.pi(alpha_list, kappa, C_mat = NULL)

.initPi(
  soc_mats,
  dyads,
  edges,
  nodes_pp,
  dyads_pp,
  n.blocks,
  periods,
  directed,
  ctrl
)

Arguments

y, d_id, pi_mat, directed	Internal arguments for blockmodel approximation.
par	Vector of parameter values.
tot_nodes	Integer vector; total number of nodes each node interacts with.
c_t	Integer matrix; samples from Poisson-Binomial counts of a node instantiating a group.
x_t	Numeric matrix; transposed monadic design matrices.
s_mat	Integer matrix; Samples of HMM states by time period.
t_id	Integer vector; for each node, what time-period is it observed in? zero-indexed.
mu_beta, var_beta	Numeric arrays; prior mean and variances of monadic coefficients.
...	Numeric vectors; vectors of potentially different length to be cbind-ed.
x, keep_const	Internal arguments for matrix scaling.
orig	Object to be transformed.
is_var	Boolean. Is the object to be transformed a variance term?
is_array	Boolean. Is the object to be transformed an array?
des.mat	Numeric matrix. Design matrix corresponding to transformed object.
nblock	Number of groups in model, defaults to NULL.
nstate	Number of hidden Markov states in model, defaults to NULL.
colPalette	A function produced by colorRamp.
range	The range of values to label the legend.
mat	Numeric matrix.
p	Numeric scalar; power to raise matrix to.
block_list	List of matrices; each element is a square, numeric matrix that defines a blockmodel,
target_mat	Numeric matrix; reference blockmodel that those in block_list should be aligned to. Optional, defaults to NULL.
use_perms	Boolean; should all row/column permutations be explored when realigning matrices? defaults to TRUE.
X	Numeric matrix; design matrix of monadic predictors.
beta	Numeric array; array of coefficients associated with monadic predictors. It of dimensions Nr. Predictors by Nr. of Blocks by Nr. of HMM states.
all_phi, beta_coef, n.sim, n.blk, n.hmm, n.nodes, n.periods, mu.beta, var.beta, est_kappa, t_id_n	Additional internal arguments for covariance estimation.
alpha_list	List of mixed-membership parameter matrices.
kappa	Numeric matrix; matrix of marginal HMM state probabilities.
C_mat	Numeric matrix; matrix of posterior counts of block instantiations per node.
soc_mats, dyads, edges, nodes_pp, dyads_pp, n.blocks, periods, ctrl	Internal arguments for MM computation.

Details

These functions are meant for internal use only.

Value

See individual return section for each function:

.cbind.fill

Matrix of cbind'ed elements in ..., with missing values in each vector filled with NA.

.mpower

Matrix; the result of raising mat to the p power.

.findPerm

List of permuted blockmodel matrices.

.transf

Matrix with transformed mixed-membership vectors along its rows, s.t. no element is equal to 0.0 or 1.0.

.compute.alpha

List of predicted alpha matrices, one element per HMM state.

.e.pi

Matrix of predicted mixed-membership vectors along its rows, with expectation computed over marginal distribution over HMM states for each time period.

.missing

Transformed data.frame with missing values list-wise deleted, or expanded with missing indicator variables.

.createSocioB

List of sociomatrices.

.vertboot2

List of bootstrapped sociomatrices.

Author(s)

Santiago Olivella ([e-mail]), Adeline Lo ([e-mail]), Tyler Pratt ([e-mail]), Kosuke Imai ([e-mail])

NetMix documentation built on May 29, 2024, 6:39 a.m.