estFeatureParameters {combi} | R Documentation |
Estimate the feature parameters
estFeatureParameters(paramEsts, lambdasParams, seqSets, data, distributions, offsets, nCores, m, JacFeatures, meanVarTrends, latentVars, numVars, control, weights, compositional, indepModels, fTol, allowMissingness, maxItFeat, ...)
paramEsts |
Current list of parameter estimates for the different views |
lambdasParams |
The lagrange multipliers |
seqSets |
A vector with view indices |
data |
A list of data matrices |
distributions |
A character vector describing the distributions |
offsets |
A list of offset matrices |
nCores |
The number of cores to use in multithreading |
m |
The dimension |
JacFeatures |
An empty Jacobian matrix |
meanVarTrends |
The mean-variance trends of the different views |
latentVars |
A vector of latent variables |
numVars |
The number of variables |
control |
A list of control arguments for the nleqslv function |
weights |
The normalization weights |
compositional |
A list of booleans indicating compositionality |
indepModels |
A list of independence model |
fTol |
A convergence tolerance |
allowMissingness |
A boolean indicating whether missing values are allowed |
maxItFeat |
An integer, the maximum number of iterations |
... |
Additional arguments passed on to the score and jacobian functions |
A vector with estimates of the feature parameters