Description Usage Arguments Details Value Warning Author(s) References Examples
Fit a 2-parameter CRM model (O'Quigley and Shen 1996) regularized with L2 norm (Friedman et al. 2010) adjusted by the distance with the target DLT rate.
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x |
input vector of dose. |
y |
response variable. |
dose0 |
dose regimen. |
tp |
target toxicity probability. Default is 0.3. |
family |
type of CRM models. Now only supports 2-paraemter CRM, |
mlambda |
maximum of tuning parameter |
nlambda |
number of |
rlambda |
fraction of |
wldose |
penalty weights used with L2 norm (adaptive L2). The |
nfolds |
number of folds. With |
foldid |
an optional vector of values between 1 and |
keep.beta |
logical flag for returning estimates for all |
thresh |
convergence threshold for coordinate descent. Default value is |
maxit |
maximum number of iterations for coordinate descent. Default is |
threshP |
boundary for calculating the probability of DLT. Default is |
threshB |
boundary for calculating the parameters. Default is 100. The estimates are truncated between |
One-step coordinate descent algorithm is applied for each lambda
.
Cross-validation is used for tuning parameters.
An object with S3 class "rCRM"
.
Beta |
estimates in 2-parameter CRM model. |
fit |
a data.frame containing |
lambda.min |
value of |
flag |
convergence flag (for internal debugging). |
prob |
estimated probability of DLT at each |
dose.close |
the index of dose in |
family |
type of CRM models. |
It may terminate and return NULL
.
Maintainer: Xiang Li <xli256@its.jnj.com>
O'Quigley, J., Shen, L.Z. (1996).
Continual reassessment method: a likelihood approach. Biometrics, 673-684.
Friedman, J., Hastie, T. and Tibshirani, R. (2010).
Regularization paths for generalized linear models via coordinate descent, Journal of Statistical Software, Vol. 33(1), 1.
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