OF_vectorized3 {RCTS}

Calculates objective function for the classical algorithm: used in iterate() and in local_search.

Description

Calculates objective function for the classical algorithm: used in iterate() and in local_search.

Usage

OF_vectorized3(
  NN,
  TT,
  g,
  grid,
  Y,
  beta_est,
  lc,
  fc,
  lg,
  fg,
  S,
  k,
  kg,
  method_estimate_beta,
  num_factors_may_vary = TRUE
)

Arguments

NN

number of time series

TT

length of time series

g

Vector with group membership for all individuals

grid

dataframe containing the matrix multiplications XB, FgLg and FL

Y

Y: NxT dataframe with the panel data of interest

beta_est

estimated values of beta

lc

loadings of estimated common factors

fc

estimated common factors

lg

estimated grouploadings

fg

estimated groupfactors

S

number of estimated groups

k

number of common factors to be estimated

kg

number of group specific factors to be estimated

method_estimate_beta

defines how beta is estimated. Default case is an estimated beta for each individual. Default value is "individual." Possible values are "homogeneous", "group" or "individual".

num_factors_may_vary

whether or not the number of groupfactors is constant over all groups or not

Value

numeric value of the objective function