Estimation of Smooth Hazard Models for Interval-Censored Data
with Applications to Survival and Illness-Death Models
Estimation of two-state (survival) models and irreversible illness-
death models with possibly interval-censored,left-truncated and right-censored
data. Proportional intensities regression models can be specified to allow for
covariates effects separately for each transition. We use either a parametric
approach with Weibull baseline intensities or a semi-parametric approach with
M-splines approximation of baseline intensities in order to obtain smooth
estimates of the hazard functions. Parameter estimates are obtained by maximum
likelihood in the parametric approach and by penalized maximum likelihood in the
semi-parametric approach.

A Collection of Smooth Tensor Estimation Methods
c(person("Chanwoo","Lee", role = c("aut", "cre"),
email = "chanwoo.lee@wisc.edu"),
person("Miaoyan", "Wang", role = "aut", email = "miaoyan.wang@wisc.edu") )
A list of methods for estimating a smooth tensor with an unknown permutation. It also contains several multi-variate functions for generating permuted signal tensors and corresponding observed tensors. For a detailed introduction for the model and estimation techniques, see the paper by Chanwoo Lee and Miaoyan Wang (2021) "Smooth tensor estimation with unknown permutations" <arXiv:2105.01783>.
Chanwoo Lee [aut, cre],
Miaoyan Wang [aut]

A list of methods for estimating a smooth tensor with an unknown permutation. It also contains several multi-variate functions for generating permuted signal tensors and corresponding observed tensors. For a detailed introduction for the model and estimation techniques, see the paper by Chanwoo Lee and Miaoyan Wang (2021) "Smooth tensor estimation with unknown permutations" <arXiv:2111.04681>.

The main function in the package utilizes a windowing function in the form of an exponential weighting function. The bandwidth and sharpness of the window are controlled by two parameters. Then, a penalized change point detection is used to identify the right shape of the window (see Charles Kervrann (2004) <doi:10.1007/978-3-540-24672-5_11>).