'Help.R' 'TriangleAdjustMeasures.R' 'CreateOriginPeriods.R'
'CreateEvaluationDates.R' 'CreateDevelopmentLags.R'
'Triangle.R' 'PlotTriangle.R' 'TriangleMeta.R'
'LatestDiagonal.R' 'TriangleModel.R' 'SummaryTriangleModel.R'
'PlotModelFactors.R' 'PlotModelGoF.R' 'PlotTriangleModel.R'
'ProjectToDate.R' 'ProjectToDev.R' 'ProjectValues.R'
'TriangleProjection.R' 'CompleteTriangle.R' 'data.R'
'PlotResiduals.R' 'SerialCorrelation.R' 'GetTriangleData.R'

Non-life runoff reserves may be analyzed using linear models. This generalizes the special cases of multiplicative chain ladder and
the additive model. In addition, the package provides visual and statistical diagnostics to assess the quality of modeled link ratios.
reshape2, ggplot2, stats, lmtest, methods, plyr
'CreateOriginPeriods.R' 'CreateEvaluationDates.R'
'CreateDevelopmentLags.R' 'TriangleAdjustMeasures.R'
'Triangle.R' 'TriangleModel.R' 'TriangleProjection.R'
'CompleteTriangle.R' 'GetTriangleData.R' 'Help.R'
'LatestDiagonal.R' 'PlotModelFactors.R' 'PlotModelGoF.R'
'PlotResiduals.R' 'PlotTriangle.R' 'PlotTriangleModel.R'
'ProjectToDate.R' 'ProjectToDev.R' 'ProjectValues.R'
'SerialCorrelation.R' 'SummaryTriangleModel.R' 'TriangleMeta.R'
'data.R'

Mendelian Randomization (MR) Based PC Algorithm
Md Bahadur Badsha <mdbadsha@uidaho.edu> and Audrey Qiuyan Fu <audreyf@uidaho.edu>
Estimate the causal graph using generalized Mendelian Randomization (MR) based PC (MRPC) Algorithm. See Badsha and Fu (2018) <doi:10.1101/171348>.

Md Bahadur Badsha [aut,cre],Evan A Martin [ctb] and Audrey Qiuyan Fu [aut]
Infer causal graphs using the principle of Mendelian randomization-based PC (MRPC) algorithm. See Badsha and Fu (2018) <doi:10.1101/171348>,Badsha et al. (2018) <arXiv:1806.01899>.

PC Algorithm with the Principle of Mendelian Randomization
A PC Algorithm with the Principle of Mendelian Randomization. This package implements the MRPC
(PC with the principle of Mendelian randomization) algorithm to infer causal graphs. It also
contains functions to simulate data under a certain topology, to visualize a graph in different
ways, and to compare graphs and quantify the differences.
See Badsha and Fu (2018) <doi:10.1101/171348>,Badsha, Martin and Fu (2018) <arXiv:1806.01899>.