---
title: "News in latest version of 'dendRoAnalyst' package"
author: "Sugam Aryal"
date: "2024-03-07"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{News in latest version of 'dendRoAnalyst' package}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

------------------------------------------------------------------------

New to dendRoAnalyst version 0.1.5!

-   This version of package is based on the 'tidyverse'.
-   The functions are faster compared to previous version.
-   The 'phase.sc' and 'phase.zg' only calculate the phases and phase statistics.
-   There are two separate functions added to plot the output of 'phase.sc' and 'phase.zg'.
-   A new function, 'dm.detrend' has been added to detrend the dendrometer data using 'gam', 'first difference' and 'gompertz' function.
-   A new function 'dm.fit.gompertz' is introduced to fit Gompertz function. It also provide option to calculate the growth rate applying first derivative of the Gompertz function.
-   The function 'spline.interpolation' is now 'dm.na.interpolation', with two methods: 'spline' and 'seasonal' interpolation. The seasonal interpolation used ARIMA model to detect the daily pattern for three weeks (the week of gap occurrence + one week earlier and later) and interpolates the missing values.
-   A new function 'read.dendrometer' is included to read the dendrometer data from TXT, CSV and EXCEL files.
-   A new function 'mean.detrended.dm' calculates the averaged detrended dendrometer data with possibility getting first order autocorrelation free averaged series.
-   A new function 'mov.cor.dm' is added for calculating climate-growth relationships.