tool {CSTE} | R Documentation |
tool functions
Description
tool functions
tool functions
Usage
ztrans(z, x, x0, h)
lpl(input, x, x0, R, z, s, h)
g(x0, sep, sloped)
cntcov(l, beta0, beta0dot, g0dot, x, x0, R, Z, s, h, sep, sloped)
sampleQ(i, l, stdel, stgam, std, x, R, Z, s, h, sep, sloped, m)
getthres(alpha, l, stdel, stgam, std, x, R, Z, s, h, sep, sloped, m)
get.bound(thres, l, stdel, stgam, std, x, R, Z, s, h, sep, sloped)
pu(x, beta)
pu_inv(x, beta, u)
normalize(x)
logitinv(x)
my_logit(x, y, off = NULL, beta = NULL, lam = 0, pen = 2)
my_surv(x, y, atrisk, off = NULL, beta = NULL, lam = 0)
prev_fit_cste(u1, u2, fit)
Arguments
z |
treatment indicators which is |
x |
numeric vector or matrix. |
x0 |
biomarkers at a fixed point. |
h |
kernel bandwidth. |
input |
parameters with dimension (2*K+1). |
R |
indicator matrix of individuals at risk prior to |
s |
censoring indicator which is a |
sloped |
the first derivative of |
l |
contraction vector with dimension |
beta0 , beta0dot |
the value of beta and its first derivative at |
g0dot |
the first derivative of |
i |
the |
stdel , stgam , std |
store the values of |
m |
number of turns of resampling. |
alpha |
the (1-alpha)-confidence level of SCB. |
thres |
the output of |
y , u , u1 , u2 , beta , atrisk |
numeric vector. |
off |
numeric value, offset. |
lam |
numeric value, penalty parameter. |
pen |
hyper-parameter that used in MCP and SCAD penalty functions. |
fit |
a S3 class of cste. |
sep |
parameter for trapezoid rule. |
Value
Intermediate results.
Intermediate results.