tempNH

A dataset that contains mean monthly Northern Hemisphere temperature
changes from 1880 to 2018. The base period is 1951 to 1980.

datasets

The nonparametric trend and its derivatives in equidistant time
series (TS) with short-memory stationary errors can be estimated. The
estimation is conducted via local polynomial regression using an
automatically selected bandwidth obtained by a built-in iterative plug-in
algorithm or a bandwidth fixed by the user. A Nadaraya-Watson kernel
smoother is also built-in as a comparison. With version 1.1.0, a linearity
test for the trend function, forecasting methods and backtesting
approaches are implemented as well.
The smoothing methods of the package are described in Feng, Y., Gries, T.,
and Fritz, M. (2020) <doi:10.1080/10485252.2020.1759598>.

Dominik Schulz

smoots

Nonparametric Estimation of the Trend and Its Derivatives in TS

Yuanhua Feng

Sebastian Letmathe

Thomas Gries

Marlon Fritz

tempNH function

A data frame with 1668 rows and 3 variables:<dl>
 <dt>Year</dt>
<dd>the observation year</dd> <dt>Month</dt>
<dd>the observation month</dd> <dt>Change</dt>
<dd>the observed mean monthly temperature changes in degrees
 Celsius</dd>
</dl>

Format

Mean Monthly Northern Hemisphere Temperature Changes — tempNH

A data frame with 1668 rows and 3 variables:<dl>
 <dt>Year</dt>
<dd>the observation year</dd>

 <dt>Month</dt>
<dd>the observation month</dd>

 <dt>Change</dt>
<dd>the observed mean monthly temperature changes in degrees
 Celsius</dd>


</dl>

tempNH: Mean Monthly Northern Hemisphere Temperature Changes

Description

Usage

Arguments

Format