# sufficientForecasting

## Overview

The goal of sufficientForecasting is to forecast a single time series
when there is a large number of predictors and a possible nonlinear
effect.

## Installation

You can install the development version of sufficientForecasting like
so:

```
# The easiest way to install sufficientForecasting
install.packages("sufficientForecasting")
# OR
devtools::install_github("JingFu1224/sufficientForecasting")
```

## Usage

The following example uses SF.CI to solve a problem: forecast a
single time series, and its upper bound and lower bound

```
library(sufficientForecasting)
## basic example code
SF.CI(y=dataExample$y,X=dataExample$X,newX=dataExample$newX,type="LLM",alpha = 0.05)
#> yhat ci_lower ci_upper
#> -0.3568 -2.4740 1.6076
```