person(given = "Sergio", family = "Ibarra-Espinosa",
Description: Incorporates colour gradients from the 'cpt-city' web archive available at <http://soliton.vm.bytemark.co.uk/pub/cpt-city/>.
Author: Sergio Ibarra-Espinosa [aut, cre]

Title: An Interface to the 'CPTEC/INPE' API
Description: Allows to retrieve data from the
'CPTEC/INPE' weather forecast API. 'CPTEC' stands for 'Centro de Previsão
de Tempo e Estudos Climáticos' and 'INPE' for 'Instituto Nacional de
Pesquisas Espaciais'. 'CPTEC' is the most advanced numerical weather and
climate forecasting center in Latin America, with high-precision short
and medium-term weather forecasting since the beginning of 1995. See

Title: Access 'Care Quality Commission' Data
Description: Access data from the 'Care Quality Commission', the health
and adult social care regulator for England. The 'Care Quality Commission'
available under the Open Government License. Data includes information on
service providers, locations such as hospitals, care homes and
medical clinics, and ratings and inspection reports.
Imports: dplyr, httr, jsonlite, anytime, snakecase, rlang, purrr
Suggests: testthat (>= 2.1.0), covr, tibble, knitr, rmarkdown, leaflet,
Author: Evan Odell [aut, cre] (<https://orcid.org/0000-0003-1845-808X>)

Title: Quantile, Composite Quantile Regression and Regularized Versions
Description: Estimate quantile regression(QR) and composite quantile regression (cqr) and with adaptive lasso penalty using interior point (IP), majorize and minimize(MM), coordinate descent (CD), and alternating direction method of multipliers algorithms(ADMM).

Depends: Rcpp (>= 0.10.0),quantreg,R (>= 2.6)

Title: Conditional ML for Quadratic Exponential Models for Binary Panel
Author: Francesco Bartolucci (University of Perugia), Claudia Pigini (University of Perugia)
Description: The package estimates, by conditional maximum likelihood, the quadratic exponential model proposed by Bartolucci & Nigro (2010) and a simplified and a modified version of this model. The quadratic exponential model is suitable for the analysis of binary longitudinal data when state dependence (further to the effect of the covariates and a time-fixed individual intercept) has to be taken into account. Therefore, this is an alternative to the dynamic logit model having the advantage of easily allowing conditional inference in order to eliminate the individual intercepts and then getting consistent estimates of the parameters of main interest (for the covariates and the lagged response). The simplified version of this model does not distinguish, as the original model does, between the last time occasion and the previous occasions. The modified version formulates in a different way the interaction terms and it may be used to test in a easy way state dependence as shown in Bartolucci, Nigro & Pigini (2013). The package also includes estimation of the dynamic logit model by a pseudo conditional estimator based on the quadratic exponential model, as proposed by Bartolucci & Nigro (2012).
Packaged: 2015-01-05 20:22:01 UTC; francescobartolucci