Incorporating Previous Findings When Evaluating New Data
Functions for revealing what happens when effect size estimates
from previous studies are taken into account when evaluating each new dataset
in a study sequence. The analyses can be conducted for cumulative
meta-analyses and for Bayesian data analyses. The package contains sample
data for a wide selection of research topics. Jointly considering
previous findings along with new data is more likely to result in correct
conclusions than does the traditional practice of not incorporating previous
findings, which often results in a back and forth ping-pong of conclusions
when evaluating a sequence of studies.
O'Connor & Ermacora (2021, <doi:10.3758/bf03200807>).

Get Weather Data from NOAA Weather Stations
Sagar Ganapaneni <123saga@gmail.com>, Vikramjeet Singh <vikram.dceian@gmail.com>
Provides functions to retrieve real-time weather data from all NOAA (National Oceanic and Atmospheric Administration) stations
and plot time series, boxplot, calendar heatmap and geospatial maps to analyze trends. NOAA is an American scientific agency within the United States Department of Commerce that focuses on the conditions of the oceans and the atmosphere. Stations are situated at 235 locations across 50 states within United States and are used to capture weather data. NOAA offers web services <https://www.ncdc.noaa.gov/cdo-web/api/v2/> that provide access to data collected from stations.
RCurl, jsonlite, tidyr, dplyr, lubridate, ggplot2, ggmap,
ggExtra, grid, gridExtra, tcR, scales, stats, utils

Builds general noise SVR models using Naive Online R Minimization Algorithm, NORMA, an optimization method based on classical stochastic gradient descent suitable for computing SVR models in an online setting.

Evaluates complex erf, erfc and density of sum of Gaussian and Student's t
Evaluates the probability density function of the sum of the
Gaussian and Student's t density on 3 degrees of freedom.
Evaluates the p.d.f. of the sphered Student's t density function.
Also evaluates the erf and erfc functions on complex-valued arguments.