m_cpp: function to perform one step of the E-M algorithm

In franciscorichter/emphasis: Evolutionary Modeling on Phylogenetic Applications with Simulations and Importance Sampling

function to perform one step of the E-M algorithm

Description

function to perform one step of the E-M algorithm

function to perform one step of the E-M algorithm

Usage

m_cpp(
  e_step,
  init_pars,
  plugin,
  lower_bound,
  upper_bound,
  xtol_rel,
  num_threads,
  rconditional = NULL
)

m_cpp(
  e_step,
  init_pars,
  plugin,
  lower_bound,
  upper_bound,
  xtol_rel,
  num_threads,
  rconditional = NULL
)

Arguments

e_step	result of e_step function, as a list
init_pars	vector of initial parameter values
plugin	string indicating plugin used, currently available: 'rpd1' and 'rpd5c'
lower_bound	vector of lower bound values for optimization, should be equal in length to the vector of init_pars
upper_bound	vector of upper bound values for optimization, should be equal in length to the vector of init_pars
xtol_rel	relative tolerance for optimization
num_threads	number of threads used.
rconditional	R function that evaluates the GAM function.

Value

list with the following entries:

• estimatesvector of estimates

• nloptnlopt status

• timeused computation time

list with the following entries:

• estimatesvector of estimates

• nloptnlopt status

• timeused computation time

franciscorichter/emphasis documentation built on Jan. 6, 2025, 7:06 p.m.