phenorm_longit_fit {PheVis}

phenorm_longit_fit

Description

Apply simplified 'PheNorm' algorithm on longitudinal data with bootstrap and noise.

Usage

phenorm_longit_fit(
  x_matrix,
  y_sur,
  ID,
  size = 10^5,
  seed = 1,
  p.noise = 0.3,
  do_sampling = TRUE,
  do_noise = TRUE,
  prob = NULL,
  calc.prob = TRUE,
  nAGQ = 0,
  glmer.control = glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 2e+05))
)

Arguments

x_matrix

x matrix to sample, noise and predict on

y_sur

surrogate with 3 values (0 and 1 the extremes and 3 middle patients)

ID

Vector of patient ID

size

size of sampling. default is 10^5

seed

seed. default is 1.

p.noise

noise probability parameter. default is .3.

do_sampling

should algorithm do sampling. default is TRUE.

do_noise

should algorithm do noise. default is TRUE.

prob

sampling probability during noising denoising step

calc.prob

should the 'prob' argument be calculated

nAGQ

glmer parameter

glmer.control

glmer parameter

Value

A list with the fixed effects, the predicted responses and the model used (mixed effect or logistic regression)