phenorm_longit_fit: phenorm_longit_fit

In PheVis: Automatic Phenotyping of Electronic Health Record at Visit Resolution

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)

PheVis documentation built on Oct. 20, 2023, 9:08 a.m.