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Remove hanging spaces
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1a7112268e
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3 changed files with 5 additions and 5 deletions
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@ -2,7 +2,7 @@
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## All rights reserved.
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## All rights reserved.
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## This source code is licensed under the BSD-style license found in the
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## This source code is licensed under the BSD-style license found in the
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## LICENSE file in the root directory of this source tree. An additional grant
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## LICENSE file in the root directory of this source tree. An additional grant
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## of patent rights can be found in the PATENTS file in the same directory.
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## of patent rights can be found in the PATENTS file in the same directory.
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## Makes R CMD CHECK happy due to dplyr syntax below
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## Makes R CMD CHECK happy due to dplyr syntax below
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@ -468,7 +468,7 @@ logistic_growth_init <- function(df) {
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#'
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#'
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#' @param m Prophet object.
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#' @param m Prophet object.
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#' @param df Data frame.
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#' @param df Data frame.
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#' @param ... Additional arguments passed to the \code{optimizing} or
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#' @param ... Additional arguments passed to the \code{optimizing} or
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#' \code{sampling} functions in Stan.
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#' \code{sampling} functions in Stan.
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#'
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#'
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#' @export
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#' @export
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@ -581,7 +581,7 @@ fit.prophet <- function(m, df, ...) {
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#' forecast <- predict(m, future)
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#' forecast <- predict(m, future)
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#' plot(m, forecast)
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#' plot(m, forecast)
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#' }
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#' }
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#'
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#'
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#' @export
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#' @export
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predict.prophet <- function(object, df = NULL, ...) {
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predict.prophet <- function(object, df = NULL, ...) {
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if (is.null(df)) {
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if (is.null(df)) {
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@ -11,7 +11,7 @@ fit.prophet(m, df, ...)
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\item{df}{Data frame.}
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\item{df}{Data frame.}
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\item{...}{Additional arguments passed to the \code{optimizing} or
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\item{...}{Additional arguments passed to the \code{optimizing} or
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\code{sampling} functions in Stan.}
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\code{sampling} functions in Stan.}
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}
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}
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\description{
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\description{
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@ -33,7 +33,7 @@ test_that("fit_predict_no_changepoints", {
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test_that("fit_predict_changepoint_not_in_history", {
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test_that("fit_predict_changepoint_not_in_history", {
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skip_if_not(Sys.getenv('R_ARCH') != '/i386')
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skip_if_not(Sys.getenv('R_ARCH') != '/i386')
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train_t <- dplyr::mutate(DATA, ds=zoo::as.Date(ds))
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train_t <- dplyr::mutate(DATA, ds=zoo::as.Date(ds))
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train_t <- dplyr::filter(train_t, (ds < zoo::as.Date('2013-01-01')) |
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train_t <- dplyr::filter(train_t, (ds < zoo::as.Date('2013-01-01')) |
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(ds > zoo::as.Date('2014-01-01')))
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(ds > zoo::as.Date('2014-01-01')))
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future <- data.frame(ds=DATA$ds)
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future <- data.frame(ds=DATA$ds)
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m <- prophet(train_t, changepoints=c('2013-06-06'))
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m <- prophet(train_t, changepoints=c('2013-06-06'))
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