Base annotation databases for chimp, intended ONLY to be used by AnnotationDbi to produce regular annotation packages.

Base annotation databases for human, intended ONLY to be used by AnnotationDbi to produce regular annotation packages.

Base annotation databases for mouse, intended ONLY to be used by AnnotationDbi to produce regular annotation packages.

Base annotation databases for yeast, intended ONLY to be used by AnnotationDbi to produce regular annotation packages.

This package provides a client for AWS Polly <http://aws.amazon.com/documentation/polly>, a speech synthesis service.

Collect your data on digital marketing campaigns from Appsflyer using the Windsor.ai API <https://windsor.ai/api-fields/>.

This function provides an interface between Matlab and R in facilitating fast processing for reading and saving DICOM images.

Evaluation (S4-)classes based on package distr for evaluating procedures (estimators/tests) at data/simulation in a unified way.

This package provides a thin wrapper around the Datorama API. Ideal for analyzing marketing data from <https://datorama.com>.

This package implements the h-likelihood estimation procedures for general frailty models including competing-risk models and joint models.

Utility functions to read, manipulate, analyse and write transit feeds in the General Transit Feed Specification (GTFS) data format.

This package performs Goodness of Fit for regression models using Integrated Regression method. Works for several different fitting techniques.

This package provides a pair of functions for getting and setting the IEEE rounding mode for floating point computations.

This package provides tools for modelling, ML estimation, validation analysis and simulation of non homogeneous Poisson processes in time.

This package provides a collection of R Markdown templates for creating simple and easy to personalize single page websites.

This package provides functions to setup a personal R package that attaches given libraries and exports personal helper functions.

This package provides data sets and functions for exploration of Pakistan Population Census 2017 (<http://www.pbscensus.gov.pk/>).

This package provides data sets and functions for exploration of Pakistan Population Census 2023 (<https://www.pbs.gov.pk/>).

Perform sample size, power calculation and subsequent analysis for Immuno-oncology (IO) trials composed of responders and non-responders.

High dimensional time to events data analysis with variable selection technique. Currently support LASSO, clustering and Bonferroni's correction.

This package provides a consistently well behaved method of interpolation based on piecewise rational functions using Stineman's algorithm.

Calibration of thresholds of control charts such as CUSUM charts based on past data, taking estimation error into account.

This package implements Minimum Torsion for portfolio diversification as described in Meucci, Attilio (2013) <doi:10.2139/ssrn.2276632>.

Matrix reconstruction, also known as matrix completion, is the task of inferring missing entries of a partially observed matrix. This package provides a method called OptSpace, which was proposed by Keshavan, R.H., Oh, S., and Montanari, A. (2009) <doi:10.1109/ISIT.2009.5205567> for a case under low-rank assumption.