# BCA1SG: Block
Coordinate Ascent with One-Step GR

## Goal

`BCA1SG`

is an R package implementing the block coordinate
ascent with one-step Generalized Rosen (BCA1SG) algorithm on the
semiparametric models for panel count data, interval-censored survival
data, and degradation data.

## Details

- A comprehensive description of the BCA1SG algorithm can be found in
Wang et al. (2020).
- For panel count data, we focus on the semiparametric nonhomogeneous
Poisson process model in Wellner and Zhang (2007).
- For interval-censored survival data, we focus on the semiparametric
proportional hazard model in Section 4 of Huang and Wellner (1997).
- For degradation data, we focus on the semiparametric random-effects
inverse Gaussian process model in Section 3 of Wang and Xu (2010).

## References

Wang Y., Ye, Z.-S., and Cao, H.(2020). On Computation of
Semi-Parametric Maximum Likelihood Estimators with Shape Constraints.
Submitted.

Wellner J.A. and Zhang Y.(2007). Two Likelihood-Based Semiparametric
Estimation Methods for Panel Count Data with Covariates. The Annals of
Statistics, 35(5), 2106-2142.

Huang J. and Wellner, J.A.(1997). Interval-Censored Survival Data: A
Review of Recent Progress. Proceedings of the Fifth Seattle Symposium in
Biostatistics, 123-169.

Wang X. and Xu, D.(2010). An Inverse Gaussian Process Model for
Degradation Data. Technometrics, 52(2), 188-197.