Packaged: 2018-10-24 11:59:26 UTC; alexander.zizka

Title: Copula-Based Semiparametric Analysis for Time Series Data with
Maintainer: Fuyuan David Li <LFY@gwmail.gwu.edu>
Description: Semiparametric estimation for censored time series
with lower detection limit. The latent response is a sequence of
Estimation of copula parameter(COPC) and Conditional quantile estimation
are included for five available copula functions.
Copula selection methods based on L2 distance from empirical copula function

Title: Copula-Based Sensitivity Analysis for Observational Causal
person("Jiajing", "Zheng", email = "carolinez6850@gmail.com", role = c("aut", "cre")),
person("Alexander", "Franks", email = "afranks@pstat.ucsb.edu", role = "aut"),
person("Alex", "D'Amour", email = "damour@google.com", role = "ctb")
Description: Implements the copula-based sensitivity analysis method,
as discussed in Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding
<arXiv:2102.09412>, with Gaussian copula adopted in particular.

Title: Copernicus Digital Elevation Models
Authors@R: c( person(given = "Lampros", family = "Mouselimis", email = "mouselimislampros@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "https://orcid.org/0000-0002-8024-1546")))
Description: Copernicus Digital Elevation Model datasets (DEM) of 90 and 30 meters resolution using the 'awscli' command line tool. The Copernicus (DEM) is included in the Registry of Open Data on 'AWS (Amazon Web Services)' and represents the surface of the Earth including buildings, infrastructure and vegetation.
SystemRequirements: awscli: apt install -y awscli (deb), aws-configure:
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>)

Imports: glue, sf, utils, gdalUtils, doParallel, foreach
Suggests: rmarkdown, knitr, data.table, fitbitViz, tmap, leaflet,

Imports: glue, sf, utils, doParallel, foreach

Title: Estimation and Statistical Process Control Under Copula-Based
Author: Takeshi Emura and Ting-Hsuan Long
Description: Estimation and statistical process control are performed under copula-based time-series models.