Package index • asmcjr

All functions

ANES1968: ANES 1968 Feeling Thermometers and Voting Data

ANES2004: ANES 2004 Issue Scales Data

ANES2004_OOC: 2004 American National Election Study (ANES) Data

BAM(): Bayesian Aldrich-McKelvey (BAM) Scaling

BMDS(): Bayesian Multidimensional Scaling (BMDS)

CDS2000: 2000 Convention Delegate Study (CDS)

SOTUcorpus: State of the Union Address Corpus

Sweden2010: 2010 Swedish Parliamentary Candidate Survey

aldmckSE(): Calculate Standard Errors for Aldrich-McKelvey Scaling

anes.input: ANES Input Data

bam.france: BAM Analysis of French Political Data

bamPrep(): Prepare Data for BAM (Bayesian Aldrich-McKelvey) Scaling

bamdata: BAM Data from France EES 2009

bayesunfold(): Bayesian Unfolding with Slice Sampling and L-BFGS Optimization

binary.comparisons(): Binary Comparisons Function

boot.aldmck(): Bootstrap Aldmck Analysis

boot.blackbox(): Bootstrap Analysis for Blackbox Model

boot.blackbox_transpose(): Bootstrap Analysis for the Blackbox Transpose Model

candidatetherms2008: Candidate Favorability Ratings from the 2008 ANES

denmarkEES2009: Danish Module of the 2009 European Election Study (EES)

diffStims(): Compute the Probabilities of Differences Between Stimuli

doubleCenter(): Double Centering of a Matrix

doubleCenterRect(): Double Centering of a Rectangular Matrix

end(<mcmc.list>): Get the End Time of an MCMC List

france4: Roll Call Data from the French Fourth Republic

franceEES2009: French Module of the 2009 European Election Study (EES)

french.parties.individuals: French Party Placement Data from the 2009 European Election Study (EES)

geweke.ggplot(): Geweke Diagnostic Plot using ggplot2

gray.palette(): Generate a Gray Color Palette

hr108: Roll Call Data from the 108th US House of Representatives (2003-2005)

hr111: Roll Call Data from the 111th U.S. Senate

input: Prepare Input Matrix from interest1981 Dataset

input2: Prepare Input Matrix from interest1981 Dataset

interest1981: Interest Group Ratings of Members of Congress (1959-1981)

issues: Issues Matrix from CDS2000 Dataset

issues.sweden: Selected Issues Sweden 2010 Dataset

legis_7th_Taiwan: 7th Legislative Yuan Roll Call Data from Taiwan (2008-2012)

makeCutlineAngles(): Calculate Cutline Angles

mexicoCSES2000: Mexican Political Party Positions on Left-Right Scale (2000 & 2006)

mexicoCSES2006: Mexican Module of the Comparative Study of Electoral Systems (CSES) 2000 and 2006

mlsmu6(): Multidimensional Scaling with Missing Data (mlsmu6)

mlsmu6_out: MDS Solution from mlsmu6

nations: Nation Similarity Ratings Dataset

nes1968_urbanunrest: Urban Unrest Issue Scales from the 1968 National Election Study (NES)

nes1968_vietnam: Vietnam War Issue Scales from the 1968 National Election Study (NES)

original: Transposed Rankings Data using Blackbox Method

outbb: Bootstrapped Blackbox Analysis Output

outbbt: Bootstrapped Blackbox Transpose Analysis Output

plot(<mlsmu6>): Plot Method for mlsmu6 Class Objects

plot_OCcutlines2(): Plot Optimal Classification Cutlines in 2D

plot_blackbox(): Plot Blackbox Results with Optional Grouping and Issue Vectors

plot_oc_coords(): Plot OC Coordinates with Rotation

plot_oc_rollcall(): Plot Optimal Classification (OC) Coordinates for a Specific Roll Call

plot_resphist(): Plot Respondent Ideal Points Histogram

plot_rollcall(): Plot Roll Call Results

plot_wnom_coords(): Plot W-NOMINATE Coordinates with Optional Confidence Intervals

presvote2008: 2008 U.S. Presidential Vote Data

rankings: Rankings Data from France EES 2009

rc.errors(): Calculate Roll Call Errors and Proportional Reduction in Error (PRE)

rc_ep: Roll Call Data for U.S. Congress

rcv_ep1: Roll Call Voting Data from the First European Parliament (1979–1984)

rcx: DW-NOMINATE Scores for the U.S. Congress

result.france: Result of Aldmck Analysis for France EES 2009 Data

result.repdem: Blackbox Analysis Results for Issues Matrix

result_2000: Blackbox Transpose Analysis Result for Mexico CSES 2000

result_2006: Blackbox Transpose Analysis Result for Mexico CSES 2006

senate.90: 90th US Senate Agreement Score Matrix (1967-1968)

start(<mcmc.list>): Get the Start Time of an MCMC List

ches_eu: CHES EU Dataset: Party Means and Standard Deviations

window(<mcmc>): Subset an MCMC Object by Specifying a Time Window

window(<mcmc.list>): Apply Windowing to an MCMC List