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RTransProb (version 0.3.3)

Analyze and Forecast Credit Migrations

Description

A set of functions used to automate commonly used methods in credit risk to estimate migration (transition) matrices. The package includes multiple methods for bootstrapping default rates and forecasting/stress testing credit exposures migrations, via Econometric and Machine Learning approaches. More information can be found at .

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Version

Install

install.packages('RTransProb')

Monthly Downloads

25

Version

0.3.3

License

GPL-2

Maintainer

Ab NDiaye

Last Published

July 17th, 2018

Functions in RTransProb (0.3.3)

cohort.TTC

Cohort - Data Weighting and "TTC" Calculation
predData_ann_SeverelyAdverse

predData_ann_SeverelyAdverse
predData_svm_Baseline

predData_svm_Baseline
cohort.CI

Bootstrapped confidence intervals - Cohort
predData_svm_SeverelyAdverse

predData_svm_SeverelyAdverse
transForecast_ann

Forecast - using Artificial Neural Networks
transForecast_lda

Forecast - using Linear Discriminant Analysis
duration.TTC

Duration - Data Weighting and "TTC" Calculation
expandTransData

Reshape Data to 'Wide' Data Format
predData_lda_SeverelyAdverse

predData_lda_SeverelyAdverse
predData_mnl_Adverse

predData_mnl_Adverse
toThresholds

Convert probabilities to credit quality thresholds.
transForecast

Forecast - using Credit Cycle
POSIXTomatlab

Convert between MATLAB datenum and R POSIXt
predData_lda_Adverse

predData_lda_Adverse
RTransProb-Internal

Internal RTransProb Functions
predData_lda_Baseline

predData_lda_Baseline
matlabToPOSIX

Convert a numeric MATLAB datenum to R POSIXt time values
transitionprobbytotals

estimate of transition probabilities.
fromThresholds

Convert credit quality thresholds to probabilities.
getPIT

Estimation of credit transition probabilities
VecOfTransData

Vector of Transition Counts
TransitionProb

Estimation of credit transition probabilities
transForecast_mnl

Forecast - using Multinomial Logistic Regression
predData_ann_Adverse

predData_ann_Adverse
transForecast_svm

Forecast - using Support Vector Machines
predData_mnl_Baseline

predData_mnl_Baseline
predData_mnl_NoVariables

predData_mnl_NoVariables
duration.CI

Bootstrapped confidence intervals - Duration
histData

histData
dataTM

dataTM
predData_svm_Adverse

predData_svm_Adverse
histData.normz

histData.normz
predData_mnl_SeverelyAdverse

predData_mnl_SeverelyAdverse
data

data
cfdates

Create Date Squence
predData_ann_Baseline

predData_ann_Baseline