httr, dplyr, tidyr, purrr, janitor, logger, lubridate,
anytime, rlist, tibble

Fitting exact conditional logistic regression with lasso and
elastic net penalties.
Tools for the fitting and cross validation of exact
conditional logistic regression models with lasso and elastic
net penalties. Uses cyclic coordinate descent and warm starts
to compute the entire path efficiently.

Tools for the fitting and cross validation of exact conditional logistic regression models with lasso and elastic net penalties. Uses cyclic coordinate descent and warm starts to compute the entire path efficiently.

Fitting Exact Conditional Logistic Regression with Lasso and
Elastic Net Penalties

Lasso Estimation of Conditional Logistic Regression Models for
Matched Case-Control Studies
Marius Kwemou <marius.kwemou@gmail.com> and Marta Avalos
Fit a sequence of conditional logistic regression models with lasso, for small to large sized samples.

Lasso Estimation of Conditional Logistic Regression Models

Sparse Conditional Logistic Regression for Matched Studies
Marta Avalos, Helene Pouyes, Marius Kwemou and Binbin Xu
Fit a sequence of conditional logistic regression models with lasso, for small to large sized samples. Avalos, M., Pouyes, H., Grandvalet, Y., Orriols, L., & Lagarde, E. (2015) <doi:10.1186/1471-2105-16-S6-S1>.

c(person("Haolun","Shi",
email = "shl2003@connect.hku.hk",
role = c("aut", "cre")),
person("Guosheng","Yin",
email = "gyin@hku.hk",
role = "aut")
)
Haolun Shi [aut, cre], Guosheng Yin [aut]
A set of functions to fit a boosting conditional logit model.

Composite Likelihood Inference for Spatial Ordinal Data with
Replications
c(person("Ting Fung (Ralph)", "Ma", email = "tingfung.ma@wisc.edu", role = c("cre", "aut")),
person("Pingping", "Wang", email = "catherinewpp@126.com", role = "aut"),
person("Jun", "Zhu", email = "jzhu@stat.wisc.edu", role = "aut"),
person("Dipankar", "Bandyopadhyay", email = "bandyopd@gmail.com", role = "ctb"),
person("Yincai", "Tang", email = "yctang@stat.ecnu.edu.cn", role= "ctb"))
Composite likelihood parameter estimate and asymptotic covariance matrix are calculated for the spatial ordinal data with replications, where spatial ordinal response with covariate and both spatial exponential covariance within subject and independent and identically distributed measurement error.  Parametric bootstrapping is used to estimate the asymptotic standard error and covariance matrix.
Ting Fung (Ralph) Ma [cre, aut],
Pingping Wang [aut],
Jun Zhu [aut],
Dipankar Bandyopadhyay [ctb],
Yincai Tang [ctb]