tandem {simuclustfactor}

Initializes an instance of the tandem model required by the tandem methods.

Description

Initializes an instance of the tandem model required by the tandem methods.

Usage

tandem(
  seed = NULL,
  verbose = TRUE,
  init = "svd",
  n_max_iter = 10,
  n_loops = 10,
  tol = 1e-05,
  U_i_g = NULL,
  B_j_q = NULL,
  C_k_r = NULL
)

Arguments

seed

Seed for random sequence generation.

verbose

Flag to display iteration outputs for each loop.

init

Parameter initialization method, 'svd' or 'random'.

n_max_iter

Maximum number of iteration to optimize the objective function.

n_loops

Maximum number of loops/runs for global results.

tol

Allowable tolerance to check convergence.

U_i_g

Initial membership function matrix for the objects.

B_j_q

Initial component scores matrix for the variables.

C_k_r

Initial component sores matrix for the occasions.

Value

An object of class "tandem".

References

Arabie P, Hubert L (1996). “Advances in Cluster Analysis Relevant to Marketing Research.” In Gaul W, Pfeifer D (eds.), From Data to Knowledge, 3–19. Tucker L (1966). “Some mathematical notes on three-mode factor analysis.” Psychometrika, 31(3), 279-311. doi:10.1007/BF02289464, https://ideas.repec.org/a/spr/psycho/v31y1966i3p279-311.html.

See Also

fit.twcfta fit.twfcta simultaneous