Title: Personalized Coach for Fitbit and R API
Author: Niraj Juneja [aut, cre], Charles de Lassence [aut, cre]
Description: Fitbit R API <https://dev.fitbit.com/> that provides fitbit coach functionality by analyzing your data obtained via fitbit API calls, and by giving personalized recommendations for the rest of the day based on your behavior.
Imports: caret, dplyr, gbm, ggplot2, httr, jsonlite, plyr, R6, stats,

Description: A pure R package for decoding activity files written in the FIT ("Flexible and Interoperable Data Transfer") format. A format that is fast becoming the standard for recording running and cycling data. Details of the FIT protocol can be found at <https://www.thisisant.com/resources/fit>.

Title: Help to fit of a parametric distribution to non-censored or censored data
Author: Marie Laure Delignette-Muller <ml.delignette@vet-lyon.fr>, Regis Pouillot <rpouillot@yahoo.fr>  and Jean-Baptiste
Maintainer: Marie Laure Delignette-Muller <ml.delignette@vet-lyon.fr>
Description: Several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds.
Packaged: Mon Feb 16 05:14:45 2009; rforge

Title: Help to fit of a parametric distribution to non-censored or
Author: Marie Laure Delignette-Muller <ml.delignette@vet-lyon.fr>,
Regis Pouillot <rpouillot@yahoo.fr>, Jean-Baptiste Denis
Description: Extends the fitdistr function (of the MASS package) with
several functions to help the fit of a parametric distribution
to non-censored or censored data. Censored data may contain
left censored, right censored and interval censored values,

Author: Marie Laure Delignette-Muller <ml.delignette@vetagro-sup.fr>,
with several lower and upper bounds. In addition to maximum
likelihood estimation method the package provides moment
matching, quantile matching and maximum goodness-of-fit
estimation methods (available only for non censored data).

estimation methods (available only for non-censored data).