generate_ind_param_values: Generates parameter values for each person in a response...

In sciarraseb/nonlinSims: Generates longitudinal data sets according to a logistic pattern.

Generates parameter values for each person in a response group.

Description

The four parameters that characterize the logistic pattern of change take on the following meanings:

• diff: different between first and last values (i.e., difference between two plateaus)

• beta: amount of time to reach midway point (i.e., 50% of the distance between theta and alpha) from time = 0

• gamma: amount of time to reach satiation point (i.e., 73% of distance between theta and alpha) from midpoint

Usage

generate_ind_param_values(
  pop_param_list,
  response_group_size,
  num_time_points,
  cov_matrix
)

Arguments

response_group_size	response group size
num_time_points	number of time points
cov_matrix	covariance matrix generated from generate_cov_matrix
theta_fixed	fixed-effect value for theta
alpha_fixed	fixed-effect value for alpha
beta_fixed	fixed-effect value for beta
gamma_fixed	fixed-effect value for gamma

Value

Returns a data table.

sciarraseb/nonlinSims documentation built on Jan. 30, 2023, 8:17 p.m.